In [1]:
import csv
from pymongo import MongoClient
import numpy as np
import pandas as pd 

pd.options.display.max_columns = 100
In [2]:
mongoClient = MongoClient() 
db = mongoClient.october_mug_talk
db.nosql.drop()
In [3]:
header = ["id","diagnosis","radius_mean","texture_mean","perimeter_mean","area_mean","smoothness_mean","compactness_mean","concavity_mean","concave points_mean","symmetry_mean","fractal_dimension_mean","radius_se","texture_se","perimeter_se","area_se","smoothness_se","compactness_se","concavity_se","concave points_se","symmetry_se","fractal_dimension_se","radius_worst","texture_worst","perimeter_worst","area_worst","smoothness_worst","compactness_worst","concavity_worst","concave points_worst","symmetry_worst","fractal_dimension_worst"]
filename = open('//Users/adhityagopal/Documents/sem 7/no sql/project/data.csv', 'r')
reader = csv.DictReader( filename )
In [4]:
for each in reader:
    
        rows={}
        for field in header:
            rows[field]=each[field]
                    
        print (rows)
        db.nosql.insert_one(rows)

{'id': '842302', 'diagnosis': 'M', 'radius_mean': '17.99', 'texture_mean': '10.38', 'perimeter_mean': '122.8', 'area_mean': '1001', 'smoothness_mean': '0.1184', 'compactness_mean': '0.2776', 'concavity_mean': '0.3001', 'concave points_mean': '0.1471', 'symmetry_mean': '0.2419', 'fractal_dimension_mean': '0.07871', 'radius_se': '1.095', 'texture_se': '0.9053', 'perimeter_se': '8.589', 'area_se': '153.4', 'smoothness_se': '0.006399', 'compactness_se': '0.04904', 'concavity_se': '0.05373', 'concave points_se': '0.01587', 'symmetry_se': '0.03003', 'fractal_dimension_se': '0.006193', 'radius_worst': '25.38', 'texture_worst': '17.33', 'perimeter_worst': '184.6', 'area_worst': '2019', 'smoothness_worst': '0.1622', 'compactness_worst': '0.6656', 'concavity_worst': '0.7119', 'concave points_worst': '0.2654', 'symmetry_worst': '0.4601', 'fractal_dimension_worst': '0.1189'}
{'id': '842517', 'diagnosis': 'M', 'radius_mean': '20.57', 'texture_mean': '17.77', 'perimeter_mean': '132.9', 'area_mean': '1326', 'smoothness_mean': '0.08474', 'compactness_mean': '0.07864', 'concavity_mean': '0.0869', 'concave points_mean': '0.07017', 'symmetry_mean': '0.1812', 'fractal_dimension_mean': '0.05667', 'radius_se': '0.5435', 'texture_se': '0.7339', 'perimeter_se': '3.398', 'area_se': '74.08', 'smoothness_se': '0.005225', 'compactness_se': '0.01308', 'concavity_se': '0.0186', 'concave points_se': '0.0134', 'symmetry_se': '0.01389', 'fractal_dimension_se': '0.003532', 'radius_worst': '24.99', 'texture_worst': '23.41', 'perimeter_worst': '158.8', 'area_worst': '1956', 'smoothness_worst': '0.1238', 'compactness_worst': '0.1866', 'concavity_worst': '0.2416', 'concave points_worst': '0.186', 'symmetry_worst': '0.275', 'fractal_dimension_worst': '0.08902'}
{'id': '84300903', 'diagnosis': 'M', 'radius_mean': '19.69', 'texture_mean': '21.25', 'perimeter_mean': '130', 'area_mean': '1203', 'smoothness_mean': '0.1096', 'compactness_mean': '0.1599', 'concavity_mean': '0.1974', 'concave points_mean': '0.1279', 'symmetry_mean': '0.2069', 'fractal_dimension_mean': '0.05999', 'radius_se': '0.7456', 'texture_se': '0.7869', 'perimeter_se': '4.585', 'area_se': '94.03', 'smoothness_se': '0.00615', 'compactness_se': '0.04006', 'concavity_se': '0.03832', 'concave points_se': '0.02058', 'symmetry_se': '0.0225', 'fractal_dimension_se': '0.004571', 'radius_worst': '23.57', 'texture_worst': '25.53', 'perimeter_worst': '152.5', 'area_worst': '1709', 'smoothness_worst': '0.1444', 'compactness_worst': '0.4245', 'concavity_worst': '0.4504', 'concave points_worst': '0.243', 'symmetry_worst': '0.3613', 'fractal_dimension_worst': '0.08758'}
{'id': '84348301', 'diagnosis': 'M', 'radius_mean': '11.42', 'texture_mean': '20.38', 'perimeter_mean': '77.58', 'area_mean': '386.1', 'smoothness_mean': '0.1425', 'compactness_mean': '0.2839', 'concavity_mean': '0.2414', 'concave points_mean': '0.1052', 'symmetry_mean': '0.2597', 'fractal_dimension_mean': '0.09744', 'radius_se': '0.4956', 'texture_se': '1.156', 'perimeter_se': '3.445', 'area_se': '27.23', 'smoothness_se': '0.00911', 'compactness_se': '0.07458', 'concavity_se': '0.05661', 'concave points_se': '0.01867', 'symmetry_se': '0.05963', 'fractal_dimension_se': '0.009208', 'radius_worst': '14.91', 'texture_worst': '26.5', 'perimeter_worst': '98.87', 'area_worst': '567.7', 'smoothness_worst': '0.2098', 'compactness_worst': '0.8663', 'concavity_worst': '0.6869', 'concave points_worst': '0.2575', 'symmetry_worst': '0.6638', 'fractal_dimension_worst': '0.173'}
{'id': '84358402', 'diagnosis': 'M', 'radius_mean': '20.29', 'texture_mean': '14.34', 'perimeter_mean': '135.1', 'area_mean': '1297', 'smoothness_mean': '0.1003', 'compactness_mean': '0.1328', 'concavity_mean': '0.198', 'concave points_mean': '0.1043', 'symmetry_mean': '0.1809', 'fractal_dimension_mean': '0.05883', 'radius_se': '0.7572', 'texture_se': '0.7813', 'perimeter_se': '5.438', 'area_se': '94.44', 'smoothness_se': '0.01149', 'compactness_se': '0.02461', 'concavity_se': '0.05688', 'concave points_se': '0.01885', 'symmetry_se': '0.01756', 'fractal_dimension_se': '0.005115', 'radius_worst': '22.54', 'texture_worst': '16.67', 'perimeter_worst': '152.2', 'area_worst': '1575', 'smoothness_worst': '0.1374', 'compactness_worst': '0.205', 'concavity_worst': '0.4', 'concave points_worst': '0.1625', 'symmetry_worst': '0.2364', 'fractal_dimension_worst': '0.07678'}
{'id': '843786', 'diagnosis': 'M', 'radius_mean': '12.45', 'texture_mean': '15.7', 'perimeter_mean': '82.57', 'area_mean': '477.1', 'smoothness_mean': '0.1278', 'compactness_mean': '0.17', 'concavity_mean': '0.1578', 'concave points_mean': '0.08089', 'symmetry_mean': '0.2087', 'fractal_dimension_mean': '0.07613', 'radius_se': '0.3345', 'texture_se': '0.8902', 'perimeter_se': '2.217', 'area_se': '27.19', 'smoothness_se': '0.00751', 'compactness_se': '0.03345', 'concavity_se': '0.03672', 'concave points_se': '0.01137', 'symmetry_se': '0.02165', 'fractal_dimension_se': '0.005082', 'radius_worst': '15.47', 'texture_worst': '23.75', 'perimeter_worst': '103.4', 'area_worst': '741.6', 'smoothness_worst': '0.1791', 'compactness_worst': '0.5249', 'concavity_worst': '0.5355', 'concave points_worst': '0.1741', 'symmetry_worst': '0.3985', 'fractal_dimension_worst': '0.1244'}
{'id': '844359', 'diagnosis': 'M', 'radius_mean': '18.25', 'texture_mean': '19.98', 'perimeter_mean': '119.6', 'area_mean': '1040', 'smoothness_mean': '0.09463', 'compactness_mean': '0.109', 'concavity_mean': '0.1127', 'concave points_mean': '0.074', 'symmetry_mean': '0.1794', 'fractal_dimension_mean': '0.05742', 'radius_se': '0.4467', 'texture_se': '0.7732', 'perimeter_se': '3.18', 'area_se': '53.91', 'smoothness_se': '0.004314', 'compactness_se': '0.01382', 'concavity_se': '0.02254', 'concave points_se': '0.01039', 'symmetry_se': '0.01369', 'fractal_dimension_se': '0.002179', 'radius_worst': '22.88', 'texture_worst': '27.66', 'perimeter_worst': '153.2', 'area_worst': '1606', 'smoothness_worst': '0.1442', 'compactness_worst': '0.2576', 'concavity_worst': '0.3784', 'concave points_worst': '0.1932', 'symmetry_worst': '0.3063', 'fractal_dimension_worst': '0.08368'}
{'id': '84458202', 'diagnosis': 'M', 'radius_mean': '13.71', 'texture_mean': '20.83', 'perimeter_mean': '90.2', 'area_mean': '577.9', 'smoothness_mean': '0.1189', 'compactness_mean': '0.1645', 'concavity_mean': '0.09366', 'concave points_mean': '0.05985', 'symmetry_mean': '0.2196', 'fractal_dimension_mean': '0.07451', 'radius_se': '0.5835', 'texture_se': '1.377', 'perimeter_se': '3.856', 'area_se': '50.96', 'smoothness_se': '0.008805', 'compactness_se': '0.03029', 'concavity_se': '0.02488', 'concave points_se': '0.01448', 'symmetry_se': '0.01486', 'fractal_dimension_se': '0.005412', 'radius_worst': '17.06', 'texture_worst': '28.14', 'perimeter_worst': '110.6', 'area_worst': '897', 'smoothness_worst': '0.1654', 'compactness_worst': '0.3682', 'concavity_worst': '0.2678', 'concave points_worst': '0.1556', 'symmetry_worst': '0.3196', 'fractal_dimension_worst': '0.1151'}
{'id': '844981', 'diagnosis': 'M', 'radius_mean': '13', 'texture_mean': '21.82', 'perimeter_mean': '87.5', 'area_mean': '519.8', 'smoothness_mean': '0.1273', 'compactness_mean': '0.1932', 'concavity_mean': '0.1859', 'concave points_mean': '0.09353', 'symmetry_mean': '0.235', 'fractal_dimension_mean': '0.07389', 'radius_se': '0.3063', 'texture_se': '1.002', 'perimeter_se': '2.406', 'area_se': '24.32', 'smoothness_se': '0.005731', 'compactness_se': '0.03502', 'concavity_se': '0.03553', 'concave points_se': '0.01226', 'symmetry_se': '0.02143', 'fractal_dimension_se': '0.003749', 'radius_worst': '15.49', 'texture_worst': '30.73', 'perimeter_worst': '106.2', 'area_worst': '739.3', 'smoothness_worst': '0.1703', 'compactness_worst': '0.5401', 'concavity_worst': '0.539', 'concave points_worst': '0.206', 'symmetry_worst': '0.4378', 'fractal_dimension_worst': '0.1072'}
{'id': '84501001', 'diagnosis': 'M', 'radius_mean': '12.46', 'texture_mean': '24.04', 'perimeter_mean': '83.97', 'area_mean': '475.9', 'smoothness_mean': '0.1186', 'compactness_mean': '0.2396', 'concavity_mean': '0.2273', 'concave points_mean': '0.08543', 'symmetry_mean': '0.203', 'fractal_dimension_mean': '0.08243', 'radius_se': '0.2976', 'texture_se': '1.599', 'perimeter_se': '2.039', 'area_se': '23.94', 'smoothness_se': '0.007149', 'compactness_se': '0.07217', 'concavity_se': '0.07743', 'concave points_se': '0.01432', 'symmetry_se': '0.01789', 'fractal_dimension_se': '0.01008', 'radius_worst': '15.09', 'texture_worst': '40.68', 'perimeter_worst': '97.65', 'area_worst': '711.4', 'smoothness_worst': '0.1853', 'compactness_worst': '1.058', 'concavity_worst': '1.105', 'concave points_worst': '0.221', 'symmetry_worst': '0.4366', 'fractal_dimension_worst': '0.2075'}
{'id': '845636', 'diagnosis': 'M', 'radius_mean': '16.02', 'texture_mean': '23.24', 'perimeter_mean': '102.7', 'area_mean': '797.8', 'smoothness_mean': '0.08206', 'compactness_mean': '0.06669', 'concavity_mean': '0.03299', 'concave points_mean': '0.03323', 'symmetry_mean': '0.1528', 'fractal_dimension_mean': '0.05697', 'radius_se': '0.3795', 'texture_se': '1.187', 'perimeter_se': '2.466', 'area_se': '40.51', 'smoothness_se': '0.004029', 'compactness_se': '0.009269', 'concavity_se': '0.01101', 'concave points_se': '0.007591', 'symmetry_se': '0.0146', 'fractal_dimension_se': '0.003042', 'radius_worst': '19.19', 'texture_worst': '33.88', 'perimeter_worst': '123.8', 'area_worst': '1150', 'smoothness_worst': '0.1181', 'compactness_worst': '0.1551', 'concavity_worst': '0.1459', 'concave points_worst': '0.09975', 'symmetry_worst': '0.2948', 'fractal_dimension_worst': '0.08452'}
{'id': '84610002', 'diagnosis': 'M', 'radius_mean': '15.78', 'texture_mean': '17.89', 'perimeter_mean': '103.6', 'area_mean': '781', 'smoothness_mean': '0.0971', 'compactness_mean': '0.1292', 'concavity_mean': '0.09954', 'concave points_mean': '0.06606', 'symmetry_mean': '0.1842', 'fractal_dimension_mean': '0.06082', 'radius_se': '0.5058', 'texture_se': '0.9849', 'perimeter_se': '3.564', 'area_se': '54.16', 'smoothness_se': '0.005771', 'compactness_se': '0.04061', 'concavity_se': '0.02791', 'concave points_se': '0.01282', 'symmetry_se': '0.02008', 'fractal_dimension_se': '0.004144', 'radius_worst': '20.42', 'texture_worst': '27.28', 'perimeter_worst': '136.5', 'area_worst': '1299', 'smoothness_worst': '0.1396', 'compactness_worst': '0.5609', 'concavity_worst': '0.3965', 'concave points_worst': '0.181', 'symmetry_worst': '0.3792', 'fractal_dimension_worst': '0.1048'}
{'id': '846226', 'diagnosis': 'M', 'radius_mean': '19.17', 'texture_mean': '24.8', 'perimeter_mean': '132.4', 'area_mean': '1123', 'smoothness_mean': '0.0974', 'compactness_mean': '0.2458', 'concavity_mean': '0.2065', 'concave points_mean': '0.1118', 'symmetry_mean': '0.2397', 'fractal_dimension_mean': '0.078', 'radius_se': '0.9555', 'texture_se': '3.568', 'perimeter_se': '11.07', 'area_se': '116.2', 'smoothness_se': '0.003139', 'compactness_se': '0.08297', 'concavity_se': '0.0889', 'concave points_se': '0.0409', 'symmetry_se': '0.04484', 'fractal_dimension_se': '0.01284', 'radius_worst': '20.96', 'texture_worst': '29.94', 'perimeter_worst': '151.7', 'area_worst': '1332', 'smoothness_worst': '0.1037', 'compactness_worst': '0.3903', 'concavity_worst': '0.3639', 'concave points_worst': '0.1767', 'symmetry_worst': '0.3176', 'fractal_dimension_worst': '0.1023'}
{'id': '846381', 'diagnosis': 'M', 'radius_mean': '15.85', 'texture_mean': '23.95', 'perimeter_mean': '103.7', 'area_mean': '782.7', 'smoothness_mean': '0.08401', 'compactness_mean': '0.1002', 'concavity_mean': '0.09938', 'concave points_mean': '0.05364', 'symmetry_mean': '0.1847', 'fractal_dimension_mean': '0.05338', 'radius_se': '0.4033', 'texture_se': '1.078', 'perimeter_se': '2.903', 'area_se': '36.58', 'smoothness_se': '0.009769', 'compactness_se': '0.03126', 'concavity_se': '0.05051', 'concave points_se': '0.01992', 'symmetry_se': '0.02981', 'fractal_dimension_se': '0.003002', 'radius_worst': '16.84', 'texture_worst': '27.66', 'perimeter_worst': '112', 'area_worst': '876.5', 'smoothness_worst': '0.1131', 'compactness_worst': '0.1924', 'concavity_worst': '0.2322', 'concave points_worst': '0.1119', 'symmetry_worst': '0.2809', 'fractal_dimension_worst': '0.06287'}
{'id': '84667401', 'diagnosis': 'M', 'radius_mean': '13.73', 'texture_mean': '22.61', 'perimeter_mean': '93.6', 'area_mean': '578.3', 'smoothness_mean': '0.1131', 'compactness_mean': '0.2293', 'concavity_mean': '0.2128', 'concave points_mean': '0.08025', 'symmetry_mean': '0.2069', 'fractal_dimension_mean': '0.07682', 'radius_se': '0.2121', 'texture_se': '1.169', 'perimeter_se': '2.061', 'area_se': '19.21', 'smoothness_se': '0.006429', 'compactness_se': '0.05936', 'concavity_se': '0.05501', 'concave points_se': '0.01628', 'symmetry_se': '0.01961', 'fractal_dimension_se': '0.008093', 'radius_worst': '15.03', 'texture_worst': '32.01', 'perimeter_worst': '108.8', 'area_worst': '697.7', 'smoothness_worst': '0.1651', 'compactness_worst': '0.7725', 'concavity_worst': '0.6943', 'concave points_worst': '0.2208', 'symmetry_worst': '0.3596', 'fractal_dimension_worst': '0.1431'}
{'id': '84799002', 'diagnosis': 'M', 'radius_mean': '14.54', 'texture_mean': '27.54', 'perimeter_mean': '96.73', 'area_mean': '658.8', 'smoothness_mean': '0.1139', 'compactness_mean': '0.1595', 'concavity_mean': '0.1639', 'concave points_mean': '0.07364', 'symmetry_mean': '0.2303', 'fractal_dimension_mean': '0.07077', 'radius_se': '0.37', 'texture_se': '1.033', 'perimeter_se': '2.879', 'area_se': '32.55', 'smoothness_se': '0.005607', 'compactness_se': '0.0424', 'concavity_se': '0.04741', 'concave points_se': '0.0109', 'symmetry_se': '0.01857', 'fractal_dimension_se': '0.005466', 'radius_worst': '17.46', 'texture_worst': '37.13', 'perimeter_worst': '124.1', 'area_worst': '943.2', 'smoothness_worst': '0.1678', 'compactness_worst': '0.6577', 'concavity_worst': '0.7026', 'concave points_worst': '0.1712', 'symmetry_worst': '0.4218', 'fractal_dimension_worst': '0.1341'}
{'id': '848406', 'diagnosis': 'M', 'radius_mean': '14.68', 'texture_mean': '20.13', 'perimeter_mean': '94.74', 'area_mean': '684.5', 'smoothness_mean': '0.09867', 'compactness_mean': '0.072', 'concavity_mean': '0.07395', 'concave points_mean': '0.05259', 'symmetry_mean': '0.1586', 'fractal_dimension_mean': '0.05922', 'radius_se': '0.4727', 'texture_se': '1.24', 'perimeter_se': '3.195', 'area_se': '45.4', 'smoothness_se': '0.005718', 'compactness_se': '0.01162', 'concavity_se': '0.01998', 'concave points_se': '0.01109', 'symmetry_se': '0.0141', 'fractal_dimension_se': '0.002085', 'radius_worst': '19.07', 'texture_worst': '30.88', 'perimeter_worst': '123.4', 'area_worst': '1138', 'smoothness_worst': '0.1464', 'compactness_worst': '0.1871', 'concavity_worst': '0.2914', 'concave points_worst': '0.1609', 'symmetry_worst': '0.3029', 'fractal_dimension_worst': '0.08216'}
{'id': '84862001', 'diagnosis': 'M', 'radius_mean': '16.13', 'texture_mean': '20.68', 'perimeter_mean': '108.1', 'area_mean': '798.8', 'smoothness_mean': '0.117', 'compactness_mean': '0.2022', 'concavity_mean': '0.1722', 'concave points_mean': '0.1028', 'symmetry_mean': '0.2164', 'fractal_dimension_mean': '0.07356', 'radius_se': '0.5692', 'texture_se': '1.073', 'perimeter_se': '3.854', 'area_se': '54.18', 'smoothness_se': '0.007026', 'compactness_se': '0.02501', 'concavity_se': '0.03188', 'concave points_se': '0.01297', 'symmetry_se': '0.01689', 'fractal_dimension_se': '0.004142', 'radius_worst': '20.96', 'texture_worst': '31.48', 'perimeter_worst': '136.8', 'area_worst': '1315', 'smoothness_worst': '0.1789', 'compactness_worst': '0.4233', 'concavity_worst': '0.4784', 'concave points_worst': '0.2073', 'symmetry_worst': '0.3706', 'fractal_dimension_worst': '0.1142'}
{'id': '849014', 'diagnosis': 'M', 'radius_mean': '19.81', 'texture_mean': '22.15', 'perimeter_mean': '130', 'area_mean': '1260', 'smoothness_mean': '0.09831', 'compactness_mean': '0.1027', 'concavity_mean': '0.1479', 'concave points_mean': '0.09498', 'symmetry_mean': '0.1582', 'fractal_dimension_mean': '0.05395', 'radius_se': '0.7582', 'texture_se': '1.017', 'perimeter_se': '5.865', 'area_se': '112.4', 'smoothness_se': '0.006494', 'compactness_se': '0.01893', 'concavity_se': '0.03391', 'concave points_se': '0.01521', 'symmetry_se': '0.01356', 'fractal_dimension_se': '0.001997', 'radius_worst': '27.32', 'texture_worst': '30.88', 'perimeter_worst': '186.8', 'area_worst': '2398', 'smoothness_worst': '0.1512', 'compactness_worst': '0.315', 'concavity_worst': '0.5372', 'concave points_worst': '0.2388', 'symmetry_worst': '0.2768', 'fractal_dimension_worst': '0.07615'}
{'id': '8510426', 'diagnosis': 'B', 'radius_mean': '13.54', 'texture_mean': '14.36', 'perimeter_mean': '87.46', 'area_mean': '566.3', 'smoothness_mean': '0.09779', 'compactness_mean': '0.08129', 'concavity_mean': '0.06664', 'concave points_mean': '0.04781', 'symmetry_mean': '0.1885', 'fractal_dimension_mean': '0.05766', 'radius_se': '0.2699', 'texture_se': '0.7886', 'perimeter_se': '2.058', 'area_se': '23.56', 'smoothness_se': '0.008462', 'compactness_se': '0.0146', 'concavity_se': '0.02387', 'concave points_se': '0.01315', 'symmetry_se': '0.0198', 'fractal_dimension_se': '0.0023', 'radius_worst': '15.11', 'texture_worst': '19.26', 'perimeter_worst': '99.7', 'area_worst': '711.2', 'smoothness_worst': '0.144', 'compactness_worst': '0.1773', 'concavity_worst': '0.239', 'concave points_worst': '0.1288', 'symmetry_worst': '0.2977', 'fractal_dimension_worst': '0.07259'}
{'id': '8510653', 'diagnosis': 'B', 'radius_mean': '13.08', 'texture_mean': '15.71', 'perimeter_mean': '85.63', 'area_mean': '520', 'smoothness_mean': '0.1075', 'compactness_mean': '0.127', 'concavity_mean': '0.04568', 'concave points_mean': '0.0311', 'symmetry_mean': '0.1967', 'fractal_dimension_mean': '0.06811', 'radius_se': '0.1852', 'texture_se': '0.7477', 'perimeter_se': '1.383', 'area_se': '14.67', 'smoothness_se': '0.004097', 'compactness_se': '0.01898', 'concavity_se': '0.01698', 'concave points_se': '0.00649', 'symmetry_se': '0.01678', 'fractal_dimension_se': '0.002425', 'radius_worst': '14.5', 'texture_worst': '20.49', 'perimeter_worst': '96.09', 'area_worst': '630.5', 'smoothness_worst': '0.1312', 'compactness_worst': '0.2776', 'concavity_worst': '0.189', 'concave points_worst': '0.07283', 'symmetry_worst': '0.3184', 'fractal_dimension_worst': '0.08183'}
{'id': '8510824', 'diagnosis': 'B', 'radius_mean': '9.504', 'texture_mean': '12.44', 'perimeter_mean': '60.34', 'area_mean': '273.9', 'smoothness_mean': '0.1024', 'compactness_mean': '0.06492', 'concavity_mean': '0.02956', 'concave points_mean': '0.02076', 'symmetry_mean': '0.1815', 'fractal_dimension_mean': '0.06905', 'radius_se': '0.2773', 'texture_se': '0.9768', 'perimeter_se': '1.909', 'area_se': '15.7', 'smoothness_se': '0.009606', 'compactness_se': '0.01432', 'concavity_se': '0.01985', 'concave points_se': '0.01421', 'symmetry_se': '0.02027', 'fractal_dimension_se': '0.002968', 'radius_worst': '10.23', 'texture_worst': '15.66', 'perimeter_worst': '65.13', 'area_worst': '314.9', 'smoothness_worst': '0.1324', 'compactness_worst': '0.1148', 'concavity_worst': '0.08867', 'concave points_worst': '0.06227', 'symmetry_worst': '0.245', 'fractal_dimension_worst': '0.07773'}
{'id': '8511133', 'diagnosis': 'M', 'radius_mean': '15.34', 'texture_mean': '14.26', 'perimeter_mean': '102.5', 'area_mean': '704.4', 'smoothness_mean': '0.1073', 'compactness_mean': '0.2135', 'concavity_mean': '0.2077', 'concave points_mean': '0.09756', 'symmetry_mean': '0.2521', 'fractal_dimension_mean': '0.07032', 'radius_se': '0.4388', 'texture_se': '0.7096', 'perimeter_se': '3.384', 'area_se': '44.91', 'smoothness_se': '0.006789', 'compactness_se': '0.05328', 'concavity_se': '0.06446', 'concave points_se': '0.02252', 'symmetry_se': '0.03672', 'fractal_dimension_se': '0.004394', 'radius_worst': '18.07', 'texture_worst': '19.08', 'perimeter_worst': '125.1', 'area_worst': '980.9', 'smoothness_worst': '0.139', 'compactness_worst': '0.5954', 'concavity_worst': '0.6305', 'concave points_worst': '0.2393', 'symmetry_worst': '0.4667', 'fractal_dimension_worst': '0.09946'}
{'id': '851509', 'diagnosis': 'M', 'radius_mean': '21.16', 'texture_mean': '23.04', 'perimeter_mean': '137.2', 'area_mean': '1404', 'smoothness_mean': '0.09428', 'compactness_mean': '0.1022', 'concavity_mean': '0.1097', 'concave points_mean': '0.08632', 'symmetry_mean': '0.1769', 'fractal_dimension_mean': '0.05278', 'radius_se': '0.6917', 'texture_se': '1.127', 'perimeter_se': '4.303', 'area_se': '93.99', 'smoothness_se': '0.004728', 'compactness_se': '0.01259', 'concavity_se': '0.01715', 'concave points_se': '0.01038', 'symmetry_se': '0.01083', 'fractal_dimension_se': '0.001987', 'radius_worst': '29.17', 'texture_worst': '35.59', 'perimeter_worst': '188', 'area_worst': '2615', 'smoothness_worst': '0.1401', 'compactness_worst': '0.26', 'concavity_worst': '0.3155', 'concave points_worst': '0.2009', 'symmetry_worst': '0.2822', 'fractal_dimension_worst': '0.07526'}
{'id': '852552', 'diagnosis': 'M', 'radius_mean': '16.65', 'texture_mean': '21.38', 'perimeter_mean': '110', 'area_mean': '904.6', 'smoothness_mean': '0.1121', 'compactness_mean': '0.1457', 'concavity_mean': '0.1525', 'concave points_mean': '0.0917', 'symmetry_mean': '0.1995', 'fractal_dimension_mean': '0.0633', 'radius_se': '0.8068', 'texture_se': '0.9017', 'perimeter_se': '5.455', 'area_se': '102.6', 'smoothness_se': '0.006048', 'compactness_se': '0.01882', 'concavity_se': '0.02741', 'concave points_se': '0.0113', 'symmetry_se': '0.01468', 'fractal_dimension_se': '0.002801', 'radius_worst': '26.46', 'texture_worst': '31.56', 'perimeter_worst': '177', 'area_worst': '2215', 'smoothness_worst': '0.1805', 'compactness_worst': '0.3578', 'concavity_worst': '0.4695', 'concave points_worst': '0.2095', 'symmetry_worst': '0.3613', 'fractal_dimension_worst': '0.09564'}
{'id': '852631', 'diagnosis': 'M', 'radius_mean': '17.14', 'texture_mean': '16.4', 'perimeter_mean': '116', 'area_mean': '912.7', 'smoothness_mean': '0.1186', 'compactness_mean': '0.2276', 'concavity_mean': '0.2229', 'concave points_mean': '0.1401', 'symmetry_mean': '0.304', 'fractal_dimension_mean': '0.07413', 'radius_se': '1.046', 'texture_se': '0.976', 'perimeter_se': '7.276', 'area_se': '111.4', 'smoothness_se': '0.008029', 'compactness_se': '0.03799', 'concavity_se': '0.03732', 'concave points_se': '0.02397', 'symmetry_se': '0.02308', 'fractal_dimension_se': '0.007444', 'radius_worst': '22.25', 'texture_worst': '21.4', 'perimeter_worst': '152.4', 'area_worst': '1461', 'smoothness_worst': '0.1545', 'compactness_worst': '0.3949', 'concavity_worst': '0.3853', 'concave points_worst': '0.255', 'symmetry_worst': '0.4066', 'fractal_dimension_worst': '0.1059'}
{'id': '852763', 'diagnosis': 'M', 'radius_mean': '14.58', 'texture_mean': '21.53', 'perimeter_mean': '97.41', 'area_mean': '644.8', 'smoothness_mean': '0.1054', 'compactness_mean': '0.1868', 'concavity_mean': '0.1425', 'concave points_mean': '0.08783', 'symmetry_mean': '0.2252', 'fractal_dimension_mean': '0.06924', 'radius_se': '0.2545', 'texture_se': '0.9832', 'perimeter_se': '2.11', 'area_se': '21.05', 'smoothness_se': '0.004452', 'compactness_se': '0.03055', 'concavity_se': '0.02681', 'concave points_se': '0.01352', 'symmetry_se': '0.01454', 'fractal_dimension_se': '0.003711', 'radius_worst': '17.62', 'texture_worst': '33.21', 'perimeter_worst': '122.4', 'area_worst': '896.9', 'smoothness_worst': '0.1525', 'compactness_worst': '0.6643', 'concavity_worst': '0.5539', 'concave points_worst': '0.2701', 'symmetry_worst': '0.4264', 'fractal_dimension_worst': '0.1275'}
{'id': '852781', 'diagnosis': 'M', 'radius_mean': '18.61', 'texture_mean': '20.25', 'perimeter_mean': '122.1', 'area_mean': '1094', 'smoothness_mean': '0.0944', 'compactness_mean': '0.1066', 'concavity_mean': '0.149', 'concave points_mean': '0.07731', 'symmetry_mean': '0.1697', 'fractal_dimension_mean': '0.05699', 'radius_se': '0.8529', 'texture_se': '1.849', 'perimeter_se': '5.632', 'area_se': '93.54', 'smoothness_se': '0.01075', 'compactness_se': '0.02722', 'concavity_se': '0.05081', 'concave points_se': '0.01911', 'symmetry_se': '0.02293', 'fractal_dimension_se': '0.004217', 'radius_worst': '21.31', 'texture_worst': '27.26', 'perimeter_worst': '139.9', 'area_worst': '1403', 'smoothness_worst': '0.1338', 'compactness_worst': '0.2117', 'concavity_worst': '0.3446', 'concave points_worst': '0.149', 'symmetry_worst': '0.2341', 'fractal_dimension_worst': '0.07421'}
{'id': '852973', 'diagnosis': 'M', 'radius_mean': '15.3', 'texture_mean': '25.27', 'perimeter_mean': '102.4', 'area_mean': '732.4', 'smoothness_mean': '0.1082', 'compactness_mean': '0.1697', 'concavity_mean': '0.1683', 'concave points_mean': '0.08751', 'symmetry_mean': '0.1926', 'fractal_dimension_mean': '0.0654', 'radius_se': '0.439', 'texture_se': '1.012', 'perimeter_se': '3.498', 'area_se': '43.5', 'smoothness_se': '0.005233', 'compactness_se': '0.03057', 'concavity_se': '0.03576', 'concave points_se': '0.01083', 'symmetry_se': '0.01768', 'fractal_dimension_se': '0.002967', 'radius_worst': '20.27', 'texture_worst': '36.71', 'perimeter_worst': '149.3', 'area_worst': '1269', 'smoothness_worst': '0.1641', 'compactness_worst': '0.611', 'concavity_worst': '0.6335', 'concave points_worst': '0.2024', 'symmetry_worst': '0.4027', 'fractal_dimension_worst': '0.09876'}
{'id': '853201', 'diagnosis': 'M', 'radius_mean': '17.57', 'texture_mean': '15.05', 'perimeter_mean': '115', 'area_mean': '955.1', 'smoothness_mean': '0.09847', 'compactness_mean': '0.1157', 'concavity_mean': '0.09875', 'concave points_mean': '0.07953', 'symmetry_mean': '0.1739', 'fractal_dimension_mean': '0.06149', 'radius_se': '0.6003', 'texture_se': '0.8225', 'perimeter_se': '4.655', 'area_se': '61.1', 'smoothness_se': '0.005627', 'compactness_se': '0.03033', 'concavity_se': '0.03407', 'concave points_se': '0.01354', 'symmetry_se': '0.01925', 'fractal_dimension_se': '0.003742', 'radius_worst': '20.01', 'texture_worst': '19.52', 'perimeter_worst': '134.9', 'area_worst': '1227', 'smoothness_worst': '0.1255', 'compactness_worst': '0.2812', 'concavity_worst': '0.2489', 'concave points_worst': '0.1456', 'symmetry_worst': '0.2756', 'fractal_dimension_worst': '0.07919'}
{'id': '853401', 'diagnosis': 'M', 'radius_mean': '18.63', 'texture_mean': '25.11', 'perimeter_mean': '124.8', 'area_mean': '1088', 'smoothness_mean': '0.1064', 'compactness_mean': '0.1887', 'concavity_mean': '0.2319', 'concave points_mean': '0.1244', 'symmetry_mean': '0.2183', 'fractal_dimension_mean': '0.06197', 'radius_se': '0.8307', 'texture_se': '1.466', 'perimeter_se': '5.574', 'area_se': '105', 'smoothness_se': '0.006248', 'compactness_se': '0.03374', 'concavity_se': '0.05196', 'concave points_se': '0.01158', 'symmetry_se': '0.02007', 'fractal_dimension_se': '0.00456', 'radius_worst': '23.15', 'texture_worst': '34.01', 'perimeter_worst': '160.5', 'area_worst': '1670', 'smoothness_worst': '0.1491', 'compactness_worst': '0.4257', 'concavity_worst': '0.6133', 'concave points_worst': '0.1848', 'symmetry_worst': '0.3444', 'fractal_dimension_worst': '0.09782'}
{'id': '853612', 'diagnosis': 'M', 'radius_mean': '11.84', 'texture_mean': '18.7', 'perimeter_mean': '77.93', 'area_mean': '440.6', 'smoothness_mean': '0.1109', 'compactness_mean': '0.1516', 'concavity_mean': '0.1218', 'concave points_mean': '0.05182', 'symmetry_mean': '0.2301', 'fractal_dimension_mean': '0.07799', 'radius_se': '0.4825', 'texture_se': '1.03', 'perimeter_se': '3.475', 'area_se': '41', 'smoothness_se': '0.005551', 'compactness_se': '0.03414', 'concavity_se': '0.04205', 'concave points_se': '0.01044', 'symmetry_se': '0.02273', 'fractal_dimension_se': '0.005667', 'radius_worst': '16.82', 'texture_worst': '28.12', 'perimeter_worst': '119.4', 'area_worst': '888.7', 'smoothness_worst': '0.1637', 'compactness_worst': '0.5775', 'concavity_worst': '0.6956', 'concave points_worst': '0.1546', 'symmetry_worst': '0.4761', 'fractal_dimension_worst': '0.1402'}
{'id': '85382601', 'diagnosis': 'M', 'radius_mean': '17.02', 'texture_mean': '23.98', 'perimeter_mean': '112.8', 'area_mean': '899.3', 'smoothness_mean': '0.1197', 'compactness_mean': '0.1496', 'concavity_mean': '0.2417', 'concave points_mean': '0.1203', 'symmetry_mean': '0.2248', 'fractal_dimension_mean': '0.06382', 'radius_se': '0.6009', 'texture_se': '1.398', 'perimeter_se': '3.999', 'area_se': '67.78', 'smoothness_se': '0.008268', 'compactness_se': '0.03082', 'concavity_se': '0.05042', 'concave points_se': '0.01112', 'symmetry_se': '0.02102', 'fractal_dimension_se': '0.003854', 'radius_worst': '20.88', 'texture_worst': '32.09', 'perimeter_worst': '136.1', 'area_worst': '1344', 'smoothness_worst': '0.1634', 'compactness_worst': '0.3559', 'concavity_worst': '0.5588', 'concave points_worst': '0.1847', 'symmetry_worst': '0.353', 'fractal_dimension_worst': '0.08482'}
{'id': '854002', 'diagnosis': 'M', 'radius_mean': '19.27', 'texture_mean': '26.47', 'perimeter_mean': '127.9', 'area_mean': '1162', 'smoothness_mean': '0.09401', 'compactness_mean': '0.1719', 'concavity_mean': '0.1657', 'concave points_mean': '0.07593', 'symmetry_mean': '0.1853', 'fractal_dimension_mean': '0.06261', 'radius_se': '0.5558', 'texture_se': '0.6062', 'perimeter_se': '3.528', 'area_se': '68.17', 'smoothness_se': '0.005015', 'compactness_se': '0.03318', 'concavity_se': '0.03497', 'concave points_se': '0.009643', 'symmetry_se': '0.01543', 'fractal_dimension_se': '0.003896', 'radius_worst': '24.15', 'texture_worst': '30.9', 'perimeter_worst': '161.4', 'area_worst': '1813', 'smoothness_worst': '0.1509', 'compactness_worst': '0.659', 'concavity_worst': '0.6091', 'concave points_worst': '0.1785', 'symmetry_worst': '0.3672', 'fractal_dimension_worst': '0.1123'}
{'id': '854039', 'diagnosis': 'M', 'radius_mean': '16.13', 'texture_mean': '17.88', 'perimeter_mean': '107', 'area_mean': '807.2', 'smoothness_mean': '0.104', 'compactness_mean': '0.1559', 'concavity_mean': '0.1354', 'concave points_mean': '0.07752', 'symmetry_mean': '0.1998', 'fractal_dimension_mean': '0.06515', 'radius_se': '0.334', 'texture_se': '0.6857', 'perimeter_se': '2.183', 'area_se': '35.03', 'smoothness_se': '0.004185', 'compactness_se': '0.02868', 'concavity_se': '0.02664', 'concave points_se': '0.009067', 'symmetry_se': '0.01703', 'fractal_dimension_se': '0.003817', 'radius_worst': '20.21', 'texture_worst': '27.26', 'perimeter_worst': '132.7', 'area_worst': '1261', 'smoothness_worst': '0.1446', 'compactness_worst': '0.5804', 'concavity_worst': '0.5274', 'concave points_worst': '0.1864', 'symmetry_worst': '0.427', 'fractal_dimension_worst': '0.1233'}
{'id': '854253', 'diagnosis': 'M', 'radius_mean': '16.74', 'texture_mean': '21.59', 'perimeter_mean': '110.1', 'area_mean': '869.5', 'smoothness_mean': '0.0961', 'compactness_mean': '0.1336', 'concavity_mean': '0.1348', 'concave points_mean': '0.06018', 'symmetry_mean': '0.1896', 'fractal_dimension_mean': '0.05656', 'radius_se': '0.4615', 'texture_se': '0.9197', 'perimeter_se': '3.008', 'area_se': '45.19', 'smoothness_se': '0.005776', 'compactness_se': '0.02499', 'concavity_se': '0.03695', 'concave points_se': '0.01195', 'symmetry_se': '0.02789', 'fractal_dimension_se': '0.002665', 'radius_worst': '20.01', 'texture_worst': '29.02', 'perimeter_worst': '133.5', 'area_worst': '1229', 'smoothness_worst': '0.1563', 'compactness_worst': '0.3835', 'concavity_worst': '0.5409', 'concave points_worst': '0.1813', 'symmetry_worst': '0.4863', 'fractal_dimension_worst': '0.08633'}
{'id': '854268', 'diagnosis': 'M', 'radius_mean': '14.25', 'texture_mean': '21.72', 'perimeter_mean': '93.63', 'area_mean': '633', 'smoothness_mean': '0.09823', 'compactness_mean': '0.1098', 'concavity_mean': '0.1319', 'concave points_mean': '0.05598', 'symmetry_mean': '0.1885', 'fractal_dimension_mean': '0.06125', 'radius_se': '0.286', 'texture_se': '1.019', 'perimeter_se': '2.657', 'area_se': '24.91', 'smoothness_se': '0.005878', 'compactness_se': '0.02995', 'concavity_se': '0.04815', 'concave points_se': '0.01161', 'symmetry_se': '0.02028', 'fractal_dimension_se': '0.004022', 'radius_worst': '15.89', 'texture_worst': '30.36', 'perimeter_worst': '116.2', 'area_worst': '799.6', 'smoothness_worst': '0.1446', 'compactness_worst': '0.4238', 'concavity_worst': '0.5186', 'concave points_worst': '0.1447', 'symmetry_worst': '0.3591', 'fractal_dimension_worst': '0.1014'}
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{'id': '855133', 'diagnosis': 'M', 'radius_mean': '14.99', 'texture_mean': '25.2', 'perimeter_mean': '95.54', 'area_mean': '698.8', 'smoothness_mean': '0.09387', 'compactness_mean': '0.05131', 'concavity_mean': '0.02398', 'concave points_mean': '0.02899', 'symmetry_mean': '0.1565', 'fractal_dimension_mean': '0.05504', 'radius_se': '1.214', 'texture_se': '2.188', 'perimeter_se': '8.077', 'area_se': '106', 'smoothness_se': '0.006883', 'compactness_se': '0.01094', 'concavity_se': '0.01818', 'concave points_se': '0.01917', 'symmetry_se': '0.007882', 'fractal_dimension_se': '0.001754', 'radius_worst': '14.99', 'texture_worst': '25.2', 'perimeter_worst': '95.54', 'area_worst': '698.8', 'smoothness_worst': '0.09387', 'compactness_worst': '0.05131', 'concavity_worst': '0.02398', 'concave points_worst': '0.02899', 'symmetry_worst': '0.1565', 'fractal_dimension_worst': '0.05504'}
{'id': '855138', 'diagnosis': 'M', 'radius_mean': '13.48', 'texture_mean': '20.82', 'perimeter_mean': '88.4', 'area_mean': '559.2', 'smoothness_mean': '0.1016', 'compactness_mean': '0.1255', 'concavity_mean': '0.1063', 'concave points_mean': '0.05439', 'symmetry_mean': '0.172', 'fractal_dimension_mean': '0.06419', 'radius_se': '0.213', 'texture_se': '0.5914', 'perimeter_se': '1.545', 'area_se': '18.52', 'smoothness_se': '0.005367', 'compactness_se': '0.02239', 'concavity_se': '0.03049', 'concave points_se': '0.01262', 'symmetry_se': '0.01377', 'fractal_dimension_se': '0.003187', 'radius_worst': '15.53', 'texture_worst': '26.02', 'perimeter_worst': '107.3', 'area_worst': '740.4', 'smoothness_worst': '0.161', 'compactness_worst': '0.4225', 'concavity_worst': '0.503', 'concave points_worst': '0.2258', 'symmetry_worst': '0.2807', 'fractal_dimension_worst': '0.1071'}
{'id': '855167', 'diagnosis': 'M', 'radius_mean': '13.44', 'texture_mean': '21.58', 'perimeter_mean': '86.18', 'area_mean': '563', 'smoothness_mean': '0.08162', 'compactness_mean': '0.06031', 'concavity_mean': '0.0311', 'concave points_mean': '0.02031', 'symmetry_mean': '0.1784', 'fractal_dimension_mean': '0.05587', 'radius_se': '0.2385', 'texture_se': '0.8265', 'perimeter_se': '1.572', 'area_se': '20.53', 'smoothness_se': '0.00328', 'compactness_se': '0.01102', 'concavity_se': '0.0139', 'concave points_se': '0.006881', 'symmetry_se': '0.0138', 'fractal_dimension_se': '0.001286', 'radius_worst': '15.93', 'texture_worst': '30.25', 'perimeter_worst': '102.5', 'area_worst': '787.9', 'smoothness_worst': '0.1094', 'compactness_worst': '0.2043', 'concavity_worst': '0.2085', 'concave points_worst': '0.1112', 'symmetry_worst': '0.2994', 'fractal_dimension_worst': '0.07146'}
{'id': '855563', 'diagnosis': 'M', 'radius_mean': '10.95', 'texture_mean': '21.35', 'perimeter_mean': '71.9', 'area_mean': '371.1', 'smoothness_mean': '0.1227', 'compactness_mean': '0.1218', 'concavity_mean': '0.1044', 'concave points_mean': '0.05669', 'symmetry_mean': '0.1895', 'fractal_dimension_mean': '0.0687', 'radius_se': '0.2366', 'texture_se': '1.428', 'perimeter_se': '1.822', 'area_se': '16.97', 'smoothness_se': '0.008064', 'compactness_se': '0.01764', 'concavity_se': '0.02595', 'concave points_se': '0.01037', 'symmetry_se': '0.01357', 'fractal_dimension_se': '0.00304', 'radius_worst': '12.84', 'texture_worst': '35.34', 'perimeter_worst': '87.22', 'area_worst': '514', 'smoothness_worst': '0.1909', 'compactness_worst': '0.2698', 'concavity_worst': '0.4023', 'concave points_worst': '0.1424', 'symmetry_worst': '0.2964', 'fractal_dimension_worst': '0.09606'}
{'id': '855625', 'diagnosis': 'M', 'radius_mean': '19.07', 'texture_mean': '24.81', 'perimeter_mean': '128.3', 'area_mean': '1104', 'smoothness_mean': '0.09081', 'compactness_mean': '0.219', 'concavity_mean': '0.2107', 'concave points_mean': '0.09961', 'symmetry_mean': '0.231', 'fractal_dimension_mean': '0.06343', 'radius_se': '0.9811', 'texture_se': '1.666', 'perimeter_se': '8.83', 'area_se': '104.9', 'smoothness_se': '0.006548', 'compactness_se': '0.1006', 'concavity_se': '0.09723', 'concave points_se': '0.02638', 'symmetry_se': '0.05333', 'fractal_dimension_se': '0.007646', 'radius_worst': '24.09', 'texture_worst': '33.17', 'perimeter_worst': '177.4', 'area_worst': '1651', 'smoothness_worst': '0.1247', 'compactness_worst': '0.7444', 'concavity_worst': '0.7242', 'concave points_worst': '0.2493', 'symmetry_worst': '0.467', 'fractal_dimension_worst': '0.1038'}
{'id': '856106', 'diagnosis': 'M', 'radius_mean': '13.28', 'texture_mean': '20.28', 'perimeter_mean': '87.32', 'area_mean': '545.2', 'smoothness_mean': '0.1041', 'compactness_mean': '0.1436', 'concavity_mean': '0.09847', 'concave points_mean': '0.06158', 'symmetry_mean': '0.1974', 'fractal_dimension_mean': '0.06782', 'radius_se': '0.3704', 'texture_se': '0.8249', 'perimeter_se': '2.427', 'area_se': '31.33', 'smoothness_se': '0.005072', 'compactness_se': '0.02147', 'concavity_se': '0.02185', 'concave points_se': '0.00956', 'symmetry_se': '0.01719', 'fractal_dimension_se': '0.003317', 'radius_worst': '17.38', 'texture_worst': '28', 'perimeter_worst': '113.1', 'area_worst': '907.2', 'smoothness_worst': '0.153', 'compactness_worst': '0.3724', 'concavity_worst': '0.3664', 'concave points_worst': '0.1492', 'symmetry_worst': '0.3739', 'fractal_dimension_worst': '0.1027'}
{'id': '85638502', 'diagnosis': 'M', 'radius_mean': '13.17', 'texture_mean': '21.81', 'perimeter_mean': '85.42', 'area_mean': '531.5', 'smoothness_mean': '0.09714', 'compactness_mean': '0.1047', 'concavity_mean': '0.08259', 'concave points_mean': '0.05252', 'symmetry_mean': '0.1746', 'fractal_dimension_mean': '0.06177', 'radius_se': '0.1938', 'texture_se': '0.6123', 'perimeter_se': '1.334', 'area_se': '14.49', 'smoothness_se': '0.00335', 'compactness_se': '0.01384', 'concavity_se': '0.01452', 'concave points_se': '0.006853', 'symmetry_se': '0.01113', 'fractal_dimension_se': '0.00172', 'radius_worst': '16.23', 'texture_worst': '29.89', 'perimeter_worst': '105.5', 'area_worst': '740.7', 'smoothness_worst': '0.1503', 'compactness_worst': '0.3904', 'concavity_worst': '0.3728', 'concave points_worst': '0.1607', 'symmetry_worst': '0.3693', 'fractal_dimension_worst': '0.09618'}
{'id': '857010', 'diagnosis': 'M', 'radius_mean': '18.65', 'texture_mean': '17.6', 'perimeter_mean': '123.7', 'area_mean': '1076', 'smoothness_mean': '0.1099', 'compactness_mean': '0.1686', 'concavity_mean': '0.1974', 'concave points_mean': '0.1009', 'symmetry_mean': '0.1907', 'fractal_dimension_mean': '0.06049', 'radius_se': '0.6289', 'texture_se': '0.6633', 'perimeter_se': '4.293', 'area_se': '71.56', 'smoothness_se': '0.006294', 'compactness_se': '0.03994', 'concavity_se': '0.05554', 'concave points_se': '0.01695', 'symmetry_se': '0.02428', 'fractal_dimension_se': '0.003535', 'radius_worst': '22.82', 'texture_worst': '21.32', 'perimeter_worst': '150.6', 'area_worst': '1567', 'smoothness_worst': '0.1679', 'compactness_worst': '0.509', 'concavity_worst': '0.7345', 'concave points_worst': '0.2378', 'symmetry_worst': '0.3799', 'fractal_dimension_worst': '0.09185'}
{'id': '85713702', 'diagnosis': 'B', 'radius_mean': '8.196', 'texture_mean': '16.84', 'perimeter_mean': '51.71', 'area_mean': '201.9', 'smoothness_mean': '0.086', 'compactness_mean': '0.05943', 'concavity_mean': '0.01588', 'concave points_mean': '0.005917', 'symmetry_mean': '0.1769', 'fractal_dimension_mean': '0.06503', 'radius_se': '0.1563', 'texture_se': '0.9567', 'perimeter_se': '1.094', 'area_se': '8.205', 'smoothness_se': '0.008968', 'compactness_se': '0.01646', 'concavity_se': '0.01588', 'concave points_se': '0.005917', 'symmetry_se': '0.02574', 'fractal_dimension_se': '0.002582', 'radius_worst': '8.964', 'texture_worst': '21.96', 'perimeter_worst': '57.26', 'area_worst': '242.2', 'smoothness_worst': '0.1297', 'compactness_worst': '0.1357', 'concavity_worst': '0.0688', 'concave points_worst': '0.02564', 'symmetry_worst': '0.3105', 'fractal_dimension_worst': '0.07409'}
{'id': '85715', 'diagnosis': 'M', 'radius_mean': '13.17', 'texture_mean': '18.66', 'perimeter_mean': '85.98', 'area_mean': '534.6', 'smoothness_mean': '0.1158', 'compactness_mean': '0.1231', 'concavity_mean': '0.1226', 'concave points_mean': '0.0734', 'symmetry_mean': '0.2128', 'fractal_dimension_mean': '0.06777', 'radius_se': '0.2871', 'texture_se': '0.8937', 'perimeter_se': '1.897', 'area_se': '24.25', 'smoothness_se': '0.006532', 'compactness_se': '0.02336', 'concavity_se': '0.02905', 'concave points_se': '0.01215', 'symmetry_se': '0.01743', 'fractal_dimension_se': '0.003643', 'radius_worst': '15.67', 'texture_worst': '27.95', 'perimeter_worst': '102.8', 'area_worst': '759.4', 'smoothness_worst': '0.1786', 'compactness_worst': '0.4166', 'concavity_worst': '0.5006', 'concave points_worst': '0.2088', 'symmetry_worst': '0.39', 'fractal_dimension_worst': '0.1179'}
{'id': '857155', 'diagnosis': 'B', 'radius_mean': '12.05', 'texture_mean': '14.63', 'perimeter_mean': '78.04', 'area_mean': '449.3', 'smoothness_mean': '0.1031', 'compactness_mean': '0.09092', 'concavity_mean': '0.06592', 'concave points_mean': '0.02749', 'symmetry_mean': '0.1675', 'fractal_dimension_mean': '0.06043', 'radius_se': '0.2636', 'texture_se': '0.7294', 'perimeter_se': '1.848', 'area_se': '19.87', 'smoothness_se': '0.005488', 'compactness_se': '0.01427', 'concavity_se': '0.02322', 'concave points_se': '0.00566', 'symmetry_se': '0.01428', 'fractal_dimension_se': '0.002422', 'radius_worst': '13.76', 'texture_worst': '20.7', 'perimeter_worst': '89.88', 'area_worst': '582.6', 'smoothness_worst': '0.1494', 'compactness_worst': '0.2156', 'concavity_worst': '0.305', 'concave points_worst': '0.06548', 'symmetry_worst': '0.2747', 'fractal_dimension_worst': '0.08301'}
{'id': '857156', 'diagnosis': 'B', 'radius_mean': '13.49', 'texture_mean': '22.3', 'perimeter_mean': '86.91', 'area_mean': '561', 'smoothness_mean': '0.08752', 'compactness_mean': '0.07698', 'concavity_mean': '0.04751', 'concave points_mean': '0.03384', 'symmetry_mean': '0.1809', 'fractal_dimension_mean': '0.05718', 'radius_se': '0.2338', 'texture_se': '1.353', 'perimeter_se': '1.735', 'area_se': '20.2', 'smoothness_se': '0.004455', 'compactness_se': '0.01382', 'concavity_se': '0.02095', 'concave points_se': '0.01184', 'symmetry_se': '0.01641', 'fractal_dimension_se': '0.001956', 'radius_worst': '15.15', 'texture_worst': '31.82', 'perimeter_worst': '99', 'area_worst': '698.8', 'smoothness_worst': '0.1162', 'compactness_worst': '0.1711', 'concavity_worst': '0.2282', 'concave points_worst': '0.1282', 'symmetry_worst': '0.2871', 'fractal_dimension_worst': '0.06917'}
{'id': '857343', 'diagnosis': 'B', 'radius_mean': '11.76', 'texture_mean': '21.6', 'perimeter_mean': '74.72', 'area_mean': '427.9', 'smoothness_mean': '0.08637', 'compactness_mean': '0.04966', 'concavity_mean': '0.01657', 'concave points_mean': '0.01115', 'symmetry_mean': '0.1495', 'fractal_dimension_mean': '0.05888', 'radius_se': '0.4062', 'texture_se': '1.21', 'perimeter_se': '2.635', 'area_se': '28.47', 'smoothness_se': '0.005857', 'compactness_se': '0.009758', 'concavity_se': '0.01168', 'concave points_se': '0.007445', 'symmetry_se': '0.02406', 'fractal_dimension_se': '0.001769', 'radius_worst': '12.98', 'texture_worst': '25.72', 'perimeter_worst': '82.98', 'area_worst': '516.5', 'smoothness_worst': '0.1085', 'compactness_worst': '0.08615', 'concavity_worst': '0.05523', 'concave points_worst': '0.03715', 'symmetry_worst': '0.2433', 'fractal_dimension_worst': '0.06563'}
{'id': '857373', 'diagnosis': 'B', 'radius_mean': '13.64', 'texture_mean': '16.34', 'perimeter_mean': '87.21', 'area_mean': '571.8', 'smoothness_mean': '0.07685', 'compactness_mean': '0.06059', 'concavity_mean': '0.01857', 'concave points_mean': '0.01723', 'symmetry_mean': '0.1353', 'fractal_dimension_mean': '0.05953', 'radius_se': '0.1872', 'texture_se': '0.9234', 'perimeter_se': '1.449', 'area_se': '14.55', 'smoothness_se': '0.004477', 'compactness_se': '0.01177', 'concavity_se': '0.01079', 'concave points_se': '0.007956', 'symmetry_se': '0.01325', 'fractal_dimension_se': '0.002551', 'radius_worst': '14.67', 'texture_worst': '23.19', 'perimeter_worst': '96.08', 'area_worst': '656.7', 'smoothness_worst': '0.1089', 'compactness_worst': '0.1582', 'concavity_worst': '0.105', 'concave points_worst': '0.08586', 'symmetry_worst': '0.2346', 'fractal_dimension_worst': '0.08025'}
{'id': '857374', 'diagnosis': 'B', 'radius_mean': '11.94', 'texture_mean': '18.24', 'perimeter_mean': '75.71', 'area_mean': '437.6', 'smoothness_mean': '0.08261', 'compactness_mean': '0.04751', 'concavity_mean': '0.01972', 'concave points_mean': '0.01349', 'symmetry_mean': '0.1868', 'fractal_dimension_mean': '0.0611', 'radius_se': '0.2273', 'texture_se': '0.6329', 'perimeter_se': '1.52', 'area_se': '17.47', 'smoothness_se': '0.00721', 'compactness_se': '0.00838', 'concavity_se': '0.01311', 'concave points_se': '0.008', 'symmetry_se': '0.01996', 'fractal_dimension_se': '0.002635', 'radius_worst': '13.1', 'texture_worst': '21.33', 'perimeter_worst': '83.67', 'area_worst': '527.2', 'smoothness_worst': '0.1144', 'compactness_worst': '0.08906', 'concavity_worst': '0.09203', 'concave points_worst': '0.06296', 'symmetry_worst': '0.2785', 'fractal_dimension_worst': '0.07408'}
{'id': '857392', 'diagnosis': 'M', 'radius_mean': '18.22', 'texture_mean': '18.7', 'perimeter_mean': '120.3', 'area_mean': '1033', 'smoothness_mean': '0.1148', 'compactness_mean': '0.1485', 'concavity_mean': '0.1772', 'concave points_mean': '0.106', 'symmetry_mean': '0.2092', 'fractal_dimension_mean': '0.0631', 'radius_se': '0.8337', 'texture_se': '1.593', 'perimeter_se': '4.877', 'area_se': '98.81', 'smoothness_se': '0.003899', 'compactness_se': '0.02961', 'concavity_se': '0.02817', 'concave points_se': '0.009222', 'symmetry_se': '0.02674', 'fractal_dimension_se': '0.005126', 'radius_worst': '20.6', 'texture_worst': '24.13', 'perimeter_worst': '135.1', 'area_worst': '1321', 'smoothness_worst': '0.128', 'compactness_worst': '0.2297', 'concavity_worst': '0.2623', 'concave points_worst': '0.1325', 'symmetry_worst': '0.3021', 'fractal_dimension_worst': '0.07987'}
{'id': '857438', 'diagnosis': 'M', 'radius_mean': '15.1', 'texture_mean': '22.02', 'perimeter_mean': '97.26', 'area_mean': '712.8', 'smoothness_mean': '0.09056', 'compactness_mean': '0.07081', 'concavity_mean': '0.05253', 'concave points_mean': '0.03334', 'symmetry_mean': '0.1616', 'fractal_dimension_mean': '0.05684', 'radius_se': '0.3105', 'texture_se': '0.8339', 'perimeter_se': '2.097', 'area_se': '29.91', 'smoothness_se': '0.004675', 'compactness_se': '0.0103', 'concavity_se': '0.01603', 'concave points_se': '0.009222', 'symmetry_se': '0.01095', 'fractal_dimension_se': '0.001629', 'radius_worst': '18.1', 'texture_worst': '31.69', 'perimeter_worst': '117.7', 'area_worst': '1030', 'smoothness_worst': '0.1389', 'compactness_worst': '0.2057', 'concavity_worst': '0.2712', 'concave points_worst': '0.153', 'symmetry_worst': '0.2675', 'fractal_dimension_worst': '0.07873'}
{'id': '85759902', 'diagnosis': 'B', 'radius_mean': '11.52', 'texture_mean': '18.75', 'perimeter_mean': '73.34', 'area_mean': '409', 'smoothness_mean': '0.09524', 'compactness_mean': '0.05473', 'concavity_mean': '0.03036', 'concave points_mean': '0.02278', 'symmetry_mean': '0.192', 'fractal_dimension_mean': '0.05907', 'radius_se': '0.3249', 'texture_se': '0.9591', 'perimeter_se': '2.183', 'area_se': '23.47', 'smoothness_se': '0.008328', 'compactness_se': '0.008722', 'concavity_se': '0.01349', 'concave points_se': '0.00867', 'symmetry_se': '0.03218', 'fractal_dimension_se': '0.002386', 'radius_worst': '12.84', 'texture_worst': '22.47', 'perimeter_worst': '81.81', 'area_worst': '506.2', 'smoothness_worst': '0.1249', 'compactness_worst': '0.0872', 'concavity_worst': '0.09076', 'concave points_worst': '0.06316', 'symmetry_worst': '0.3306', 'fractal_dimension_worst': '0.07036'}
{'id': '857637', 'diagnosis': 'M', 'radius_mean': '19.21', 'texture_mean': '18.57', 'perimeter_mean': '125.5', 'area_mean': '1152', 'smoothness_mean': '0.1053', 'compactness_mean': '0.1267', 'concavity_mean': '0.1323', 'concave points_mean': '0.08994', 'symmetry_mean': '0.1917', 'fractal_dimension_mean': '0.05961', 'radius_se': '0.7275', 'texture_se': '1.193', 'perimeter_se': '4.837', 'area_se': '102.5', 'smoothness_se': '0.006458', 'compactness_se': '0.02306', 'concavity_se': '0.02945', 'concave points_se': '0.01538', 'symmetry_se': '0.01852', 'fractal_dimension_se': '0.002608', 'radius_worst': '26.14', 'texture_worst': '28.14', 'perimeter_worst': '170.1', 'area_worst': '2145', 'smoothness_worst': '0.1624', 'compactness_worst': '0.3511', 'concavity_worst': '0.3879', 'concave points_worst': '0.2091', 'symmetry_worst': '0.3537', 'fractal_dimension_worst': '0.08294'}
{'id': '857793', 'diagnosis': 'M', 'radius_mean': '14.71', 'texture_mean': '21.59', 'perimeter_mean': '95.55', 'area_mean': '656.9', 'smoothness_mean': '0.1137', 'compactness_mean': '0.1365', 'concavity_mean': '0.1293', 'concave points_mean': '0.08123', 'symmetry_mean': '0.2027', 'fractal_dimension_mean': '0.06758', 'radius_se': '0.4226', 'texture_se': '1.15', 'perimeter_se': '2.735', 'area_se': '40.09', 'smoothness_se': '0.003659', 'compactness_se': '0.02855', 'concavity_se': '0.02572', 'concave points_se': '0.01272', 'symmetry_se': '0.01817', 'fractal_dimension_se': '0.004108', 'radius_worst': '17.87', 'texture_worst': '30.7', 'perimeter_worst': '115.7', 'area_worst': '985.5', 'smoothness_worst': '0.1368', 'compactness_worst': '0.429', 'concavity_worst': '0.3587', 'concave points_worst': '0.1834', 'symmetry_worst': '0.3698', 'fractal_dimension_worst': '0.1094'}
{'id': '857810', 'diagnosis': 'B', 'radius_mean': '13.05', 'texture_mean': '19.31', 'perimeter_mean': '82.61', 'area_mean': '527.2', 'smoothness_mean': '0.0806', 'compactness_mean': '0.03789', 'concavity_mean': '0.000692', 'concave points_mean': '0.004167', 'symmetry_mean': '0.1819', 'fractal_dimension_mean': '0.05501', 'radius_se': '0.404', 'texture_se': '1.214', 'perimeter_se': '2.595', 'area_se': '32.96', 'smoothness_se': '0.007491', 'compactness_se': '0.008593', 'concavity_se': '0.000692', 'concave points_se': '0.004167', 'symmetry_se': '0.0219', 'fractal_dimension_se': '0.00299', 'radius_worst': '14.23', 'texture_worst': '22.25', 'perimeter_worst': '90.24', 'area_worst': '624.1', 'smoothness_worst': '0.1021', 'compactness_worst': '0.06191', 'concavity_worst': '0.001845', 'concave points_worst': '0.01111', 'symmetry_worst': '0.2439', 'fractal_dimension_worst': '0.06289'}
{'id': '858477', 'diagnosis': 'B', 'radius_mean': '8.618', 'texture_mean': '11.79', 'perimeter_mean': '54.34', 'area_mean': '224.5', 'smoothness_mean': '0.09752', 'compactness_mean': '0.05272', 'concavity_mean': '0.02061', 'concave points_mean': '0.007799', 'symmetry_mean': '0.1683', 'fractal_dimension_mean': '0.07187', 'radius_se': '0.1559', 'texture_se': '0.5796', 'perimeter_se': '1.046', 'area_se': '8.322', 'smoothness_se': '0.01011', 'compactness_se': '0.01055', 'concavity_se': '0.01981', 'concave points_se': '0.005742', 'symmetry_se': '0.0209', 'fractal_dimension_se': '0.002788', 'radius_worst': '9.507', 'texture_worst': '15.4', 'perimeter_worst': '59.9', 'area_worst': '274.9', 'smoothness_worst': '0.1733', 'compactness_worst': '0.1239', 'concavity_worst': '0.1168', 'concave points_worst': '0.04419', 'symmetry_worst': '0.322', 'fractal_dimension_worst': '0.09026'}
{'id': '858970', 'diagnosis': 'B', 'radius_mean': '10.17', 'texture_mean': '14.88', 'perimeter_mean': '64.55', 'area_mean': '311.9', 'smoothness_mean': '0.1134', 'compactness_mean': '0.08061', 'concavity_mean': '0.01084', 'concave points_mean': '0.0129', 'symmetry_mean': '0.2743', 'fractal_dimension_mean': '0.0696', 'radius_se': '0.5158', 'texture_se': '1.441', 'perimeter_se': '3.312', 'area_se': '34.62', 'smoothness_se': '0.007514', 'compactness_se': '0.01099', 'concavity_se': '0.007665', 'concave points_se': '0.008193', 'symmetry_se': '0.04183', 'fractal_dimension_se': '0.005953', 'radius_worst': '11.02', 'texture_worst': '17.45', 'perimeter_worst': '69.86', 'area_worst': '368.6', 'smoothness_worst': '0.1275', 'compactness_worst': '0.09866', 'concavity_worst': '0.02168', 'concave points_worst': '0.02579', 'symmetry_worst': '0.3557', 'fractal_dimension_worst': '0.0802'}
{'id': '858981', 'diagnosis': 'B', 'radius_mean': '8.598', 'texture_mean': '20.98', 'perimeter_mean': '54.66', 'area_mean': '221.8', 'smoothness_mean': '0.1243', 'compactness_mean': '0.08963', 'concavity_mean': '0.03', 'concave points_mean': '0.009259', 'symmetry_mean': '0.1828', 'fractal_dimension_mean': '0.06757', 'radius_se': '0.3582', 'texture_se': '2.067', 'perimeter_se': '2.493', 'area_se': '18.39', 'smoothness_se': '0.01193', 'compactness_se': '0.03162', 'concavity_se': '0.03', 'concave points_se': '0.009259', 'symmetry_se': '0.03357', 'fractal_dimension_se': '0.003048', 'radius_worst': '9.565', 'texture_worst': '27.04', 'perimeter_worst': '62.06', 'area_worst': '273.9', 'smoothness_worst': '0.1639', 'compactness_worst': '0.1698', 'concavity_worst': '0.09001', 'concave points_worst': '0.02778', 'symmetry_worst': '0.2972', 'fractal_dimension_worst': '0.07712'}
{'id': '858986', 'diagnosis': 'M', 'radius_mean': '14.25', 'texture_mean': '22.15', 'perimeter_mean': '96.42', 'area_mean': '645.7', 'smoothness_mean': '0.1049', 'compactness_mean': '0.2008', 'concavity_mean': '0.2135', 'concave points_mean': '0.08653', 'symmetry_mean': '0.1949', 'fractal_dimension_mean': '0.07292', 'radius_se': '0.7036', 'texture_se': '1.268', 'perimeter_se': '5.373', 'area_se': '60.78', 'smoothness_se': '0.009407', 'compactness_se': '0.07056', 'concavity_se': '0.06899', 'concave points_se': '0.01848', 'symmetry_se': '0.017', 'fractal_dimension_se': '0.006113', 'radius_worst': '17.67', 'texture_worst': '29.51', 'perimeter_worst': '119.1', 'area_worst': '959.5', 'smoothness_worst': '0.164', 'compactness_worst': '0.6247', 'concavity_worst': '0.6922', 'concave points_worst': '0.1785', 'symmetry_worst': '0.2844', 'fractal_dimension_worst': '0.1132'}
{'id': '859196', 'diagnosis': 'B', 'radius_mean': '9.173', 'texture_mean': '13.86', 'perimeter_mean': '59.2', 'area_mean': '260.9', 'smoothness_mean': '0.07721', 'compactness_mean': '0.08751', 'concavity_mean': '0.05988', 'concave points_mean': '0.0218', 'symmetry_mean': '0.2341', 'fractal_dimension_mean': '0.06963', 'radius_se': '0.4098', 'texture_se': '2.265', 'perimeter_se': '2.608', 'area_se': '23.52', 'smoothness_se': '0.008738', 'compactness_se': '0.03938', 'concavity_se': '0.04312', 'concave points_se': '0.0156', 'symmetry_se': '0.04192', 'fractal_dimension_se': '0.005822', 'radius_worst': '10.01', 'texture_worst': '19.23', 'perimeter_worst': '65.59', 'area_worst': '310.1', 'smoothness_worst': '0.09836', 'compactness_worst': '0.1678', 'concavity_worst': '0.1397', 'concave points_worst': '0.05087', 'symmetry_worst': '0.3282', 'fractal_dimension_worst': '0.0849'}
{'id': '85922302', 'diagnosis': 'M', 'radius_mean': '12.68', 'texture_mean': '23.84', 'perimeter_mean': '82.69', 'area_mean': '499', 'smoothness_mean': '0.1122', 'compactness_mean': '0.1262', 'concavity_mean': '0.1128', 'concave points_mean': '0.06873', 'symmetry_mean': '0.1905', 'fractal_dimension_mean': '0.0659', 'radius_se': '0.4255', 'texture_se': '1.178', 'perimeter_se': '2.927', 'area_se': '36.46', 'smoothness_se': '0.007781', 'compactness_se': '0.02648', 'concavity_se': '0.02973', 'concave points_se': '0.0129', 'symmetry_se': '0.01635', 'fractal_dimension_se': '0.003601', 'radius_worst': '17.09', 'texture_worst': '33.47', 'perimeter_worst': '111.8', 'area_worst': '888.3', 'smoothness_worst': '0.1851', 'compactness_worst': '0.4061', 'concavity_worst': '0.4024', 'concave points_worst': '0.1716', 'symmetry_worst': '0.3383', 'fractal_dimension_worst': '0.1031'}
{'id': '859283', 'diagnosis': 'M', 'radius_mean': '14.78', 'texture_mean': '23.94', 'perimeter_mean': '97.4', 'area_mean': '668.3', 'smoothness_mean': '0.1172', 'compactness_mean': '0.1479', 'concavity_mean': '0.1267', 'concave points_mean': '0.09029', 'symmetry_mean': '0.1953', 'fractal_dimension_mean': '0.06654', 'radius_se': '0.3577', 'texture_se': '1.281', 'perimeter_se': '2.45', 'area_se': '35.24', 'smoothness_se': '0.006703', 'compactness_se': '0.0231', 'concavity_se': '0.02315', 'concave points_se': '0.01184', 'symmetry_se': '0.019', 'fractal_dimension_se': '0.003224', 'radius_worst': '17.31', 'texture_worst': '33.39', 'perimeter_worst': '114.6', 'area_worst': '925.1', 'smoothness_worst': '0.1648', 'compactness_worst': '0.3416', 'concavity_worst': '0.3024', 'concave points_worst': '0.1614', 'symmetry_worst': '0.3321', 'fractal_dimension_worst': '0.08911'}
{'id': '859464', 'diagnosis': 'B', 'radius_mean': '9.465', 'texture_mean': '21.01', 'perimeter_mean': '60.11', 'area_mean': '269.4', 'smoothness_mean': '0.1044', 'compactness_mean': '0.07773', 'concavity_mean': '0.02172', 'concave points_mean': '0.01504', 'symmetry_mean': '0.1717', 'fractal_dimension_mean': '0.06899', 'radius_se': '0.2351', 'texture_se': '2.011', 'perimeter_se': '1.66', 'area_se': '14.2', 'smoothness_se': '0.01052', 'compactness_se': '0.01755', 'concavity_se': '0.01714', 'concave points_se': '0.009333', 'symmetry_se': '0.02279', 'fractal_dimension_se': '0.004237', 'radius_worst': '10.41', 'texture_worst': '31.56', 'perimeter_worst': '67.03', 'area_worst': '330.7', 'smoothness_worst': '0.1548', 'compactness_worst': '0.1664', 'concavity_worst': '0.09412', 'concave points_worst': '0.06517', 'symmetry_worst': '0.2878', 'fractal_dimension_worst': '0.09211'}
{'id': '859465', 'diagnosis': 'B', 'radius_mean': '11.31', 'texture_mean': '19.04', 'perimeter_mean': '71.8', 'area_mean': '394.1', 'smoothness_mean': '0.08139', 'compactness_mean': '0.04701', 'concavity_mean': '0.03709', 'concave points_mean': '0.0223', 'symmetry_mean': '0.1516', 'fractal_dimension_mean': '0.05667', 'radius_se': '0.2727', 'texture_se': '0.9429', 'perimeter_se': '1.831', 'area_se': '18.15', 'smoothness_se': '0.009282', 'compactness_se': '0.009216', 'concavity_se': '0.02063', 'concave points_se': '0.008965', 'symmetry_se': '0.02183', 'fractal_dimension_se': '0.002146', 'radius_worst': '12.33', 'texture_worst': '23.84', 'perimeter_worst': '78', 'area_worst': '466.7', 'smoothness_worst': '0.129', 'compactness_worst': '0.09148', 'concavity_worst': '0.1444', 'concave points_worst': '0.06961', 'symmetry_worst': '0.24', 'fractal_dimension_worst': '0.06641'}
{'id': '859471', 'diagnosis': 'B', 'radius_mean': '9.029', 'texture_mean': '17.33', 'perimeter_mean': '58.79', 'area_mean': '250.5', 'smoothness_mean': '0.1066', 'compactness_mean': '0.1413', 'concavity_mean': '0.313', 'concave points_mean': '0.04375', 'symmetry_mean': '0.2111', 'fractal_dimension_mean': '0.08046', 'radius_se': '0.3274', 'texture_se': '1.194', 'perimeter_se': '1.885', 'area_se': '17.67', 'smoothness_se': '0.009549', 'compactness_se': '0.08606', 'concavity_se': '0.3038', 'concave points_se': '0.03322', 'symmetry_se': '0.04197', 'fractal_dimension_se': '0.009559', 'radius_worst': '10.31', 'texture_worst': '22.65', 'perimeter_worst': '65.5', 'area_worst': '324.7', 'smoothness_worst': '0.1482', 'compactness_worst': '0.4365', 'concavity_worst': '1.252', 'concave points_worst': '0.175', 'symmetry_worst': '0.4228', 'fractal_dimension_worst': '0.1175'}
{'id': '859487', 'diagnosis': 'B', 'radius_mean': '12.78', 'texture_mean': '16.49', 'perimeter_mean': '81.37', 'area_mean': '502.5', 'smoothness_mean': '0.09831', 'compactness_mean': '0.05234', 'concavity_mean': '0.03653', 'concave points_mean': '0.02864', 'symmetry_mean': '0.159', 'fractal_dimension_mean': '0.05653', 'radius_se': '0.2368', 'texture_se': '0.8732', 'perimeter_se': '1.471', 'area_se': '18.33', 'smoothness_se': '0.007962', 'compactness_se': '0.005612', 'concavity_se': '0.01585', 'concave points_se': '0.008662', 'symmetry_se': '0.02254', 'fractal_dimension_se': '0.001906', 'radius_worst': '13.46', 'texture_worst': '19.76', 'perimeter_worst': '85.67', 'area_worst': '554.9', 'smoothness_worst': '0.1296', 'compactness_worst': '0.07061', 'concavity_worst': '0.1039', 'concave points_worst': '0.05882', 'symmetry_worst': '0.2383', 'fractal_dimension_worst': '0.0641'}
{'id': '859575', 'diagnosis': 'M', 'radius_mean': '18.94', 'texture_mean': '21.31', 'perimeter_mean': '123.6', 'area_mean': '1130', 'smoothness_mean': '0.09009', 'compactness_mean': '0.1029', 'concavity_mean': '0.108', 'concave points_mean': '0.07951', 'symmetry_mean': '0.1582', 'fractal_dimension_mean': '0.05461', 'radius_se': '0.7888', 'texture_se': '0.7975', 'perimeter_se': '5.486', 'area_se': '96.05', 'smoothness_se': '0.004444', 'compactness_se': '0.01652', 'concavity_se': '0.02269', 'concave points_se': '0.0137', 'symmetry_se': '0.01386', 'fractal_dimension_se': '0.001698', 'radius_worst': '24.86', 'texture_worst': '26.58', 'perimeter_worst': '165.9', 'area_worst': '1866', 'smoothness_worst': '0.1193', 'compactness_worst': '0.2336', 'concavity_worst': '0.2687', 'concave points_worst': '0.1789', 'symmetry_worst': '0.2551', 'fractal_dimension_worst': '0.06589'}
{'id': '859711', 'diagnosis': 'B', 'radius_mean': '8.888', 'texture_mean': '14.64', 'perimeter_mean': '58.79', 'area_mean': '244', 'smoothness_mean': '0.09783', 'compactness_mean': '0.1531', 'concavity_mean': '0.08606', 'concave points_mean': '0.02872', 'symmetry_mean': '0.1902', 'fractal_dimension_mean': '0.0898', 'radius_se': '0.5262', 'texture_se': '0.8522', 'perimeter_se': '3.168', 'area_se': '25.44', 'smoothness_se': '0.01721', 'compactness_se': '0.09368', 'concavity_se': '0.05671', 'concave points_se': '0.01766', 'symmetry_se': '0.02541', 'fractal_dimension_se': '0.02193', 'radius_worst': '9.733', 'texture_worst': '15.67', 'perimeter_worst': '62.56', 'area_worst': '284.4', 'smoothness_worst': '0.1207', 'compactness_worst': '0.2436', 'concavity_worst': '0.1434', 'concave points_worst': '0.04786', 'symmetry_worst': '0.2254', 'fractal_dimension_worst': '0.1084'}
{'id': '859717', 'diagnosis': 'M', 'radius_mean': '17.2', 'texture_mean': '24.52', 'perimeter_mean': '114.2', 'area_mean': '929.4', 'smoothness_mean': '0.1071', 'compactness_mean': '0.183', 'concavity_mean': '0.1692', 'concave points_mean': '0.07944', 'symmetry_mean': '0.1927', 'fractal_dimension_mean': '0.06487', 'radius_se': '0.5907', 'texture_se': '1.041', 'perimeter_se': '3.705', 'area_se': '69.47', 'smoothness_se': '0.00582', 'compactness_se': '0.05616', 'concavity_se': '0.04252', 'concave points_se': '0.01127', 'symmetry_se': '0.01527', 'fractal_dimension_se': '0.006299', 'radius_worst': '23.32', 'texture_worst': '33.82', 'perimeter_worst': '151.6', 'area_worst': '1681', 'smoothness_worst': '0.1585', 'compactness_worst': '0.7394', 'concavity_worst': '0.6566', 'concave points_worst': '0.1899', 'symmetry_worst': '0.3313', 'fractal_dimension_worst': '0.1339'}
{'id': '859983', 'diagnosis': 'M', 'radius_mean': '13.8', 'texture_mean': '15.79', 'perimeter_mean': '90.43', 'area_mean': '584.1', 'smoothness_mean': '0.1007', 'compactness_mean': '0.128', 'concavity_mean': '0.07789', 'concave points_mean': '0.05069', 'symmetry_mean': '0.1662', 'fractal_dimension_mean': '0.06566', 'radius_se': '0.2787', 'texture_se': '0.6205', 'perimeter_se': '1.957', 'area_se': '23.35', 'smoothness_se': '0.004717', 'compactness_se': '0.02065', 'concavity_se': '0.01759', 'concave points_se': '0.009206', 'symmetry_se': '0.0122', 'fractal_dimension_se': '0.00313', 'radius_worst': '16.57', 'texture_worst': '20.86', 'perimeter_worst': '110.3', 'area_worst': '812.4', 'smoothness_worst': '0.1411', 'compactness_worst': '0.3542', 'concavity_worst': '0.2779', 'concave points_worst': '0.1383', 'symmetry_worst': '0.2589', 'fractal_dimension_worst': '0.103'}
{'id': '8610175', 'diagnosis': 'B', 'radius_mean': '12.31', 'texture_mean': '16.52', 'perimeter_mean': '79.19', 'area_mean': '470.9', 'smoothness_mean': '0.09172', 'compactness_mean': '0.06829', 'concavity_mean': '0.03372', 'concave points_mean': '0.02272', 'symmetry_mean': '0.172', 'fractal_dimension_mean': '0.05914', 'radius_se': '0.2505', 'texture_se': '1.025', 'perimeter_se': '1.74', 'area_se': '19.68', 'smoothness_se': '0.004854', 'compactness_se': '0.01819', 'concavity_se': '0.01826', 'concave points_se': '0.007965', 'symmetry_se': '0.01386', 'fractal_dimension_se': '0.002304', 'radius_worst': '14.11', 'texture_worst': '23.21', 'perimeter_worst': '89.71', 'area_worst': '611.1', 'smoothness_worst': '0.1176', 'compactness_worst': '0.1843', 'concavity_worst': '0.1703', 'concave points_worst': '0.0866', 'symmetry_worst': '0.2618', 'fractal_dimension_worst': '0.07609'}
{'id': '8610404', 'diagnosis': 'M', 'radius_mean': '16.07', 'texture_mean': '19.65', 'perimeter_mean': '104.1', 'area_mean': '817.7', 'smoothness_mean': '0.09168', 'compactness_mean': '0.08424', 'concavity_mean': '0.09769', 'concave points_mean': '0.06638', 'symmetry_mean': '0.1798', 'fractal_dimension_mean': '0.05391', 'radius_se': '0.7474', 'texture_se': '1.016', 'perimeter_se': '5.029', 'area_se': '79.25', 'smoothness_se': '0.01082', 'compactness_se': '0.02203', 'concavity_se': '0.035', 'concave points_se': '0.01809', 'symmetry_se': '0.0155', 'fractal_dimension_se': '0.001948', 'radius_worst': '19.77', 'texture_worst': '24.56', 'perimeter_worst': '128.8', 'area_worst': '1223', 'smoothness_worst': '0.15', 'compactness_worst': '0.2045', 'concavity_worst': '0.2829', 'concave points_worst': '0.152', 'symmetry_worst': '0.265', 'fractal_dimension_worst': '0.06387'}
{'id': '8610629', 'diagnosis': 'B', 'radius_mean': '13.53', 'texture_mean': '10.94', 'perimeter_mean': '87.91', 'area_mean': '559.2', 'smoothness_mean': '0.1291', 'compactness_mean': '0.1047', 'concavity_mean': '0.06877', 'concave points_mean': '0.06556', 'symmetry_mean': '0.2403', 'fractal_dimension_mean': '0.06641', 'radius_se': '0.4101', 'texture_se': '1.014', 'perimeter_se': '2.652', 'area_se': '32.65', 'smoothness_se': '0.0134', 'compactness_se': '0.02839', 'concavity_se': '0.01162', 'concave points_se': '0.008239', 'symmetry_se': '0.02572', 'fractal_dimension_se': '0.006164', 'radius_worst': '14.08', 'texture_worst': '12.49', 'perimeter_worst': '91.36', 'area_worst': '605.5', 'smoothness_worst': '0.1451', 'compactness_worst': '0.1379', 'concavity_worst': '0.08539', 'concave points_worst': '0.07407', 'symmetry_worst': '0.271', 'fractal_dimension_worst': '0.07191'}
{'id': '8610637', 'diagnosis': 'M', 'radius_mean': '18.05', 'texture_mean': '16.15', 'perimeter_mean': '120.2', 'area_mean': '1006', 'smoothness_mean': '0.1065', 'compactness_mean': '0.2146', 'concavity_mean': '0.1684', 'concave points_mean': '0.108', 'symmetry_mean': '0.2152', 'fractal_dimension_mean': '0.06673', 'radius_se': '0.9806', 'texture_se': '0.5505', 'perimeter_se': '6.311', 'area_se': '134.8', 'smoothness_se': '0.00794', 'compactness_se': '0.05839', 'concavity_se': '0.04658', 'concave points_se': '0.0207', 'symmetry_se': '0.02591', 'fractal_dimension_se': '0.007054', 'radius_worst': '22.39', 'texture_worst': '18.91', 'perimeter_worst': '150.1', 'area_worst': '1610', 'smoothness_worst': '0.1478', 'compactness_worst': '0.5634', 'concavity_worst': '0.3786', 'concave points_worst': '0.2102', 'symmetry_worst': '0.3751', 'fractal_dimension_worst': '0.1108'}
{'id': '8610862', 'diagnosis': 'M', 'radius_mean': '20.18', 'texture_mean': '23.97', 'perimeter_mean': '143.7', 'area_mean': '1245', 'smoothness_mean': '0.1286', 'compactness_mean': '0.3454', 'concavity_mean': '0.3754', 'concave points_mean': '0.1604', 'symmetry_mean': '0.2906', 'fractal_dimension_mean': '0.08142', 'radius_se': '0.9317', 'texture_se': '1.885', 'perimeter_se': '8.649', 'area_se': '116.4', 'smoothness_se': '0.01038', 'compactness_se': '0.06835', 'concavity_se': '0.1091', 'concave points_se': '0.02593', 'symmetry_se': '0.07895', 'fractal_dimension_se': '0.005987', 'radius_worst': '23.37', 'texture_worst': '31.72', 'perimeter_worst': '170.3', 'area_worst': '1623', 'smoothness_worst': '0.1639', 'compactness_worst': '0.6164', 'concavity_worst': '0.7681', 'concave points_worst': '0.2508', 'symmetry_worst': '0.544', 'fractal_dimension_worst': '0.09964'}
{'id': '8610908', 'diagnosis': 'B', 'radius_mean': '12.86', 'texture_mean': '18', 'perimeter_mean': '83.19', 'area_mean': '506.3', 'smoothness_mean': '0.09934', 'compactness_mean': '0.09546', 'concavity_mean': '0.03889', 'concave points_mean': '0.02315', 'symmetry_mean': '0.1718', 'fractal_dimension_mean': '0.05997', 'radius_se': '0.2655', 'texture_se': '1.095', 'perimeter_se': '1.778', 'area_se': '20.35', 'smoothness_se': '0.005293', 'compactness_se': '0.01661', 'concavity_se': '0.02071', 'concave points_se': '0.008179', 'symmetry_se': '0.01748', 'fractal_dimension_se': '0.002848', 'radius_worst': '14.24', 'texture_worst': '24.82', 'perimeter_worst': '91.88', 'area_worst': '622.1', 'smoothness_worst': '0.1289', 'compactness_worst': '0.2141', 'concavity_worst': '0.1731', 'concave points_worst': '0.07926', 'symmetry_worst': '0.2779', 'fractal_dimension_worst': '0.07918'}
{'id': '861103', 'diagnosis': 'B', 'radius_mean': '11.45', 'texture_mean': '20.97', 'perimeter_mean': '73.81', 'area_mean': '401.5', 'smoothness_mean': '0.1102', 'compactness_mean': '0.09362', 'concavity_mean': '0.04591', 'concave points_mean': '0.02233', 'symmetry_mean': '0.1842', 'fractal_dimension_mean': '0.07005', 'radius_se': '0.3251', 'texture_se': '2.174', 'perimeter_se': '2.077', 'area_se': '24.62', 'smoothness_se': '0.01037', 'compactness_se': '0.01706', 'concavity_se': '0.02586', 'concave points_se': '0.007506', 'symmetry_se': '0.01816', 'fractal_dimension_se': '0.003976', 'radius_worst': '13.11', 'texture_worst': '32.16', 'perimeter_worst': '84.53', 'area_worst': '525.1', 'smoothness_worst': '0.1557', 'compactness_worst': '0.1676', 'concavity_worst': '0.1755', 'concave points_worst': '0.06127', 'symmetry_worst': '0.2762', 'fractal_dimension_worst': '0.08851'}
{'id': '8611161', 'diagnosis': 'B', 'radius_mean': '13.34', 'texture_mean': '15.86', 'perimeter_mean': '86.49', 'area_mean': '520', 'smoothness_mean': '0.1078', 'compactness_mean': '0.1535', 'concavity_mean': '0.1169', 'concave points_mean': '0.06987', 'symmetry_mean': '0.1942', 'fractal_dimension_mean': '0.06902', 'radius_se': '0.286', 'texture_se': '1.016', 'perimeter_se': '1.535', 'area_se': '12.96', 'smoothness_se': '0.006794', 'compactness_se': '0.03575', 'concavity_se': '0.0398', 'concave points_se': '0.01383', 'symmetry_se': '0.02134', 'fractal_dimension_se': '0.004603', 'radius_worst': '15.53', 'texture_worst': '23.19', 'perimeter_worst': '96.66', 'area_worst': '614.9', 'smoothness_worst': '0.1536', 'compactness_worst': '0.4791', 'concavity_worst': '0.4858', 'concave points_worst': '0.1708', 'symmetry_worst': '0.3527', 'fractal_dimension_worst': '0.1016'}
{'id': '8611555', 'diagnosis': 'M', 'radius_mean': '25.22', 'texture_mean': '24.91', 'perimeter_mean': '171.5', 'area_mean': '1878', 'smoothness_mean': '0.1063', 'compactness_mean': '0.2665', 'concavity_mean': '0.3339', 'concave points_mean': '0.1845', 'symmetry_mean': '0.1829', 'fractal_dimension_mean': '0.06782', 'radius_se': '0.8973', 'texture_se': '1.474', 'perimeter_se': '7.382', 'area_se': '120', 'smoothness_se': '0.008166', 'compactness_se': '0.05693', 'concavity_se': '0.0573', 'concave points_se': '0.0203', 'symmetry_se': '0.01065', 'fractal_dimension_se': '0.005893', 'radius_worst': '30', 'texture_worst': '33.62', 'perimeter_worst': '211.7', 'area_worst': '2562', 'smoothness_worst': '0.1573', 'compactness_worst': '0.6076', 'concavity_worst': '0.6476', 'concave points_worst': '0.2867', 'symmetry_worst': '0.2355', 'fractal_dimension_worst': '0.1051'}
{'id': '8611792', 'diagnosis': 'M', 'radius_mean': '19.1', 'texture_mean': '26.29', 'perimeter_mean': '129.1', 'area_mean': '1132', 'smoothness_mean': '0.1215', 'compactness_mean': '0.1791', 'concavity_mean': '0.1937', 'concave points_mean': '0.1469', 'symmetry_mean': '0.1634', 'fractal_dimension_mean': '0.07224', 'radius_se': '0.519', 'texture_se': '2.91', 'perimeter_se': '5.801', 'area_se': '67.1', 'smoothness_se': '0.007545', 'compactness_se': '0.0605', 'concavity_se': '0.02134', 'concave points_se': '0.01843', 'symmetry_se': '0.03056', 'fractal_dimension_se': '0.01039', 'radius_worst': '20.33', 'texture_worst': '32.72', 'perimeter_worst': '141.3', 'area_worst': '1298', 'smoothness_worst': '0.1392', 'compactness_worst': '0.2817', 'concavity_worst': '0.2432', 'concave points_worst': '0.1841', 'symmetry_worst': '0.2311', 'fractal_dimension_worst': '0.09203'}
{'id': '8612080', 'diagnosis': 'B', 'radius_mean': '12', 'texture_mean': '15.65', 'perimeter_mean': '76.95', 'area_mean': '443.3', 'smoothness_mean': '0.09723', 'compactness_mean': '0.07165', 'concavity_mean': '0.04151', 'concave points_mean': '0.01863', 'symmetry_mean': '0.2079', 'fractal_dimension_mean': '0.05968', 'radius_se': '0.2271', 'texture_se': '1.255', 'perimeter_se': '1.441', 'area_se': '16.16', 'smoothness_se': '0.005969', 'compactness_se': '0.01812', 'concavity_se': '0.02007', 'concave points_se': '0.007027', 'symmetry_se': '0.01972', 'fractal_dimension_se': '0.002607', 'radius_worst': '13.67', 'texture_worst': '24.9', 'perimeter_worst': '87.78', 'area_worst': '567.9', 'smoothness_worst': '0.1377', 'compactness_worst': '0.2003', 'concavity_worst': '0.2267', 'concave points_worst': '0.07632', 'symmetry_worst': '0.3379', 'fractal_dimension_worst': '0.07924'}
{'id': '8612399', 'diagnosis': 'M', 'radius_mean': '18.46', 'texture_mean': '18.52', 'perimeter_mean': '121.1', 'area_mean': '1075', 'smoothness_mean': '0.09874', 'compactness_mean': '0.1053', 'concavity_mean': '0.1335', 'concave points_mean': '0.08795', 'symmetry_mean': '0.2132', 'fractal_dimension_mean': '0.06022', 'radius_se': '0.6997', 'texture_se': '1.475', 'perimeter_se': '4.782', 'area_se': '80.6', 'smoothness_se': '0.006471', 'compactness_se': '0.01649', 'concavity_se': '0.02806', 'concave points_se': '0.0142', 'symmetry_se': '0.0237', 'fractal_dimension_se': '0.003755', 'radius_worst': '22.93', 'texture_worst': '27.68', 'perimeter_worst': '152.2', 'area_worst': '1603', 'smoothness_worst': '0.1398', 'compactness_worst': '0.2089', 'concavity_worst': '0.3157', 'concave points_worst': '0.1642', 'symmetry_worst': '0.3695', 'fractal_dimension_worst': '0.08579'}
{'id': '86135501', 'diagnosis': 'M', 'radius_mean': '14.48', 'texture_mean': '21.46', 'perimeter_mean': '94.25', 'area_mean': '648.2', 'smoothness_mean': '0.09444', 'compactness_mean': '0.09947', 'concavity_mean': '0.1204', 'concave points_mean': '0.04938', 'symmetry_mean': '0.2075', 'fractal_dimension_mean': '0.05636', 'radius_se': '0.4204', 'texture_se': '2.22', 'perimeter_se': '3.301', 'area_se': '38.87', 'smoothness_se': '0.009369', 'compactness_se': '0.02983', 'concavity_se': '0.05371', 'concave points_se': '0.01761', 'symmetry_se': '0.02418', 'fractal_dimension_se': '0.003249', 'radius_worst': '16.21', 'texture_worst': '29.25', 'perimeter_worst': '108.4', 'area_worst': '808.9', 'smoothness_worst': '0.1306', 'compactness_worst': '0.1976', 'concavity_worst': '0.3349', 'concave points_worst': '0.1225', 'symmetry_worst': '0.302', 'fractal_dimension_worst': '0.06846'}
{'id': '86135502', 'diagnosis': 'M', 'radius_mean': '19.02', 'texture_mean': '24.59', 'perimeter_mean': '122', 'area_mean': '1076', 'smoothness_mean': '0.09029', 'compactness_mean': '0.1206', 'concavity_mean': '0.1468', 'concave points_mean': '0.08271', 'symmetry_mean': '0.1953', 'fractal_dimension_mean': '0.05629', 'radius_se': '0.5495', 'texture_se': '0.6636', 'perimeter_se': '3.055', 'area_se': '57.65', 'smoothness_se': '0.003872', 'compactness_se': '0.01842', 'concavity_se': '0.0371', 'concave points_se': '0.012', 'symmetry_se': '0.01964', 'fractal_dimension_se': '0.003337', 'radius_worst': '24.56', 'texture_worst': '30.41', 'perimeter_worst': '152.9', 'area_worst': '1623', 'smoothness_worst': '0.1249', 'compactness_worst': '0.3206', 'concavity_worst': '0.5755', 'concave points_worst': '0.1956', 'symmetry_worst': '0.3956', 'fractal_dimension_worst': '0.09288'}
{'id': '861597', 'diagnosis': 'B', 'radius_mean': '12.36', 'texture_mean': '21.8', 'perimeter_mean': '79.78', 'area_mean': '466.1', 'smoothness_mean': '0.08772', 'compactness_mean': '0.09445', 'concavity_mean': '0.06015', 'concave points_mean': '0.03745', 'symmetry_mean': '0.193', 'fractal_dimension_mean': '0.06404', 'radius_se': '0.2978', 'texture_se': '1.502', 'perimeter_se': '2.203', 'area_se': '20.95', 'smoothness_se': '0.007112', 'compactness_se': '0.02493', 'concavity_se': '0.02703', 'concave points_se': '0.01293', 'symmetry_se': '0.01958', 'fractal_dimension_se': '0.004463', 'radius_worst': '13.83', 'texture_worst': '30.5', 'perimeter_worst': '91.46', 'area_worst': '574.7', 'smoothness_worst': '0.1304', 'compactness_worst': '0.2463', 'concavity_worst': '0.2434', 'concave points_worst': '0.1205', 'symmetry_worst': '0.2972', 'fractal_dimension_worst': '0.09261'}
{'id': '861598', 'diagnosis': 'B', 'radius_mean': '14.64', 'texture_mean': '15.24', 'perimeter_mean': '95.77', 'area_mean': '651.9', 'smoothness_mean': '0.1132', 'compactness_mean': '0.1339', 'concavity_mean': '0.09966', 'concave points_mean': '0.07064', 'symmetry_mean': '0.2116', 'fractal_dimension_mean': '0.06346', 'radius_se': '0.5115', 'texture_se': '0.7372', 'perimeter_se': '3.814', 'area_se': '42.76', 'smoothness_se': '0.005508', 'compactness_se': '0.04412', 'concavity_se': '0.04436', 'concave points_se': '0.01623', 'symmetry_se': '0.02427', 'fractal_dimension_se': '0.004841', 'radius_worst': '16.34', 'texture_worst': '18.24', 'perimeter_worst': '109.4', 'area_worst': '803.6', 'smoothness_worst': '0.1277', 'compactness_worst': '0.3089', 'concavity_worst': '0.2604', 'concave points_worst': '0.1397', 'symmetry_worst': '0.3151', 'fractal_dimension_worst': '0.08473'}
{'id': '861648', 'diagnosis': 'B', 'radius_mean': '14.62', 'texture_mean': '24.02', 'perimeter_mean': '94.57', 'area_mean': '662.7', 'smoothness_mean': '0.08974', 'compactness_mean': '0.08606', 'concavity_mean': '0.03102', 'concave points_mean': '0.02957', 'symmetry_mean': '0.1685', 'fractal_dimension_mean': '0.05866', 'radius_se': '0.3721', 'texture_se': '1.111', 'perimeter_se': '2.279', 'area_se': '33.76', 'smoothness_se': '0.004868', 'compactness_se': '0.01818', 'concavity_se': '0.01121', 'concave points_se': '0.008606', 'symmetry_se': '0.02085', 'fractal_dimension_se': '0.002893', 'radius_worst': '16.11', 'texture_worst': '29.11', 'perimeter_worst': '102.9', 'area_worst': '803.7', 'smoothness_worst': '0.1115', 'compactness_worst': '0.1766', 'concavity_worst': '0.09189', 'concave points_worst': '0.06946', 'symmetry_worst': '0.2522', 'fractal_dimension_worst': '0.07246'}
{'id': '861799', 'diagnosis': 'M', 'radius_mean': '15.37', 'texture_mean': '22.76', 'perimeter_mean': '100.2', 'area_mean': '728.2', 'smoothness_mean': '0.092', 'compactness_mean': '0.1036', 'concavity_mean': '0.1122', 'concave points_mean': '0.07483', 'symmetry_mean': '0.1717', 'fractal_dimension_mean': '0.06097', 'radius_se': '0.3129', 'texture_se': '0.8413', 'perimeter_se': '2.075', 'area_se': '29.44', 'smoothness_se': '0.009882', 'compactness_se': '0.02444', 'concavity_se': '0.04531', 'concave points_se': '0.01763', 'symmetry_se': '0.02471', 'fractal_dimension_se': '0.002142', 'radius_worst': '16.43', 'texture_worst': '25.84', 'perimeter_worst': '107.5', 'area_worst': '830.9', 'smoothness_worst': '0.1257', 'compactness_worst': '0.1997', 'concavity_worst': '0.2846', 'concave points_worst': '0.1476', 'symmetry_worst': '0.2556', 'fractal_dimension_worst': '0.06828'}
{'id': '861853', 'diagnosis': 'B', 'radius_mean': '13.27', 'texture_mean': '14.76', 'perimeter_mean': '84.74', 'area_mean': '551.7', 'smoothness_mean': '0.07355', 'compactness_mean': '0.05055', 'concavity_mean': '0.03261', 'concave points_mean': '0.02648', 'symmetry_mean': '0.1386', 'fractal_dimension_mean': '0.05318', 'radius_se': '0.4057', 'texture_se': '1.153', 'perimeter_se': '2.701', 'area_se': '36.35', 'smoothness_se': '0.004481', 'compactness_se': '0.01038', 'concavity_se': '0.01358', 'concave points_se': '0.01082', 'symmetry_se': '0.01069', 'fractal_dimension_se': '0.001435', 'radius_worst': '16.36', 'texture_worst': '22.35', 'perimeter_worst': '104.5', 'area_worst': '830.6', 'smoothness_worst': '0.1006', 'compactness_worst': '0.1238', 'concavity_worst': '0.135', 'concave points_worst': '0.1001', 'symmetry_worst': '0.2027', 'fractal_dimension_worst': '0.06206'}
{'id': '862009', 'diagnosis': 'B', 'radius_mean': '13.45', 'texture_mean': '18.3', 'perimeter_mean': '86.6', 'area_mean': '555.1', 'smoothness_mean': '0.1022', 'compactness_mean': '0.08165', 'concavity_mean': '0.03974', 'concave points_mean': '0.0278', 'symmetry_mean': '0.1638', 'fractal_dimension_mean': '0.0571', 'radius_se': '0.295', 'texture_se': '1.373', 'perimeter_se': '2.099', 'area_se': '25.22', 'smoothness_se': '0.005884', 'compactness_se': '0.01491', 'concavity_se': '0.01872', 'concave points_se': '0.009366', 'symmetry_se': '0.01884', 'fractal_dimension_se': '0.001817', 'radius_worst': '15.1', 'texture_worst': '25.94', 'perimeter_worst': '97.59', 'area_worst': '699.4', 'smoothness_worst': '0.1339', 'compactness_worst': '0.1751', 'concavity_worst': '0.1381', 'concave points_worst': '0.07911', 'symmetry_worst': '0.2678', 'fractal_dimension_worst': '0.06603'}
{'id': '862028', 'diagnosis': 'M', 'radius_mean': '15.06', 'texture_mean': '19.83', 'perimeter_mean': '100.3', 'area_mean': '705.6', 'smoothness_mean': '0.1039', 'compactness_mean': '0.1553', 'concavity_mean': '0.17', 'concave points_mean': '0.08815', 'symmetry_mean': '0.1855', 'fractal_dimension_mean': '0.06284', 'radius_se': '0.4768', 'texture_se': '0.9644', 'perimeter_se': '3.706', 'area_se': '47.14', 'smoothness_se': '0.00925', 'compactness_se': '0.03715', 'concavity_se': '0.04867', 'concave points_se': '0.01851', 'symmetry_se': '0.01498', 'fractal_dimension_se': '0.00352', 'radius_worst': '18.23', 'texture_worst': '24.23', 'perimeter_worst': '123.5', 'area_worst': '1025', 'smoothness_worst': '0.1551', 'compactness_worst': '0.4203', 'concavity_worst': '0.5203', 'concave points_worst': '0.2115', 'symmetry_worst': '0.2834', 'fractal_dimension_worst': '0.08234'}
{'id': '86208', 'diagnosis': 'M', 'radius_mean': '20.26', 'texture_mean': '23.03', 'perimeter_mean': '132.4', 'area_mean': '1264', 'smoothness_mean': '0.09078', 'compactness_mean': '0.1313', 'concavity_mean': '0.1465', 'concave points_mean': '0.08683', 'symmetry_mean': '0.2095', 'fractal_dimension_mean': '0.05649', 'radius_se': '0.7576', 'texture_se': '1.509', 'perimeter_se': '4.554', 'area_se': '87.87', 'smoothness_se': '0.006016', 'compactness_se': '0.03482', 'concavity_se': '0.04232', 'concave points_se': '0.01269', 'symmetry_se': '0.02657', 'fractal_dimension_se': '0.004411', 'radius_worst': '24.22', 'texture_worst': '31.59', 'perimeter_worst': '156.1', 'area_worst': '1750', 'smoothness_worst': '0.119', 'compactness_worst': '0.3539', 'concavity_worst': '0.4098', 'concave points_worst': '0.1573', 'symmetry_worst': '0.3689', 'fractal_dimension_worst': '0.08368'}
{'id': '86211', 'diagnosis': 'B', 'radius_mean': '12.18', 'texture_mean': '17.84', 'perimeter_mean': '77.79', 'area_mean': '451.1', 'smoothness_mean': '0.1045', 'compactness_mean': '0.07057', 'concavity_mean': '0.0249', 'concave points_mean': '0.02941', 'symmetry_mean': '0.19', 'fractal_dimension_mean': '0.06635', 'radius_se': '0.3661', 'texture_se': '1.511', 'perimeter_se': '2.41', 'area_se': '24.44', 'smoothness_se': '0.005433', 'compactness_se': '0.01179', 'concavity_se': '0.01131', 'concave points_se': '0.01519', 'symmetry_se': '0.0222', 'fractal_dimension_se': '0.003408', 'radius_worst': '12.83', 'texture_worst': '20.92', 'perimeter_worst': '82.14', 'area_worst': '495.2', 'smoothness_worst': '0.114', 'compactness_worst': '0.09358', 'concavity_worst': '0.0498', 'concave points_worst': '0.05882', 'symmetry_worst': '0.2227', 'fractal_dimension_worst': '0.07376'}
{'id': '862261', 'diagnosis': 'B', 'radius_mean': '9.787', 'texture_mean': '19.94', 'perimeter_mean': '62.11', 'area_mean': '294.5', 'smoothness_mean': '0.1024', 'compactness_mean': '0.05301', 'concavity_mean': '0.006829', 'concave points_mean': '0.007937', 'symmetry_mean': '0.135', 'fractal_dimension_mean': '0.0689', 'radius_se': '0.335', 'texture_se': '2.043', 'perimeter_se': '2.132', 'area_se': '20.05', 'smoothness_se': '0.01113', 'compactness_se': '0.01463', 'concavity_se': '0.005308', 'concave points_se': '0.00525', 'symmetry_se': '0.01801', 'fractal_dimension_se': '0.005667', 'radius_worst': '10.92', 'texture_worst': '26.29', 'perimeter_worst': '68.81', 'area_worst': '366.1', 'smoothness_worst': '0.1316', 'compactness_worst': '0.09473', 'concavity_worst': '0.02049', 'concave points_worst': '0.02381', 'symmetry_worst': '0.1934', 'fractal_dimension_worst': '0.08988'}
{'id': '862485', 'diagnosis': 'B', 'radius_mean': '11.6', 'texture_mean': '12.84', 'perimeter_mean': '74.34', 'area_mean': '412.6', 'smoothness_mean': '0.08983', 'compactness_mean': '0.07525', 'concavity_mean': '0.04196', 'concave points_mean': '0.0335', 'symmetry_mean': '0.162', 'fractal_dimension_mean': '0.06582', 'radius_se': '0.2315', 'texture_se': '0.5391', 'perimeter_se': '1.475', 'area_se': '15.75', 'smoothness_se': '0.006153', 'compactness_se': '0.0133', 'concavity_se': '0.01693', 'concave points_se': '0.006884', 'symmetry_se': '0.01651', 'fractal_dimension_se': '0.002551', 'radius_worst': '13.06', 'texture_worst': '17.16', 'perimeter_worst': '82.96', 'area_worst': '512.5', 'smoothness_worst': '0.1431', 'compactness_worst': '0.1851', 'concavity_worst': '0.1922', 'concave points_worst': '0.08449', 'symmetry_worst': '0.2772', 'fractal_dimension_worst': '0.08756'}
{'id': '862548', 'diagnosis': 'M', 'radius_mean': '14.42', 'texture_mean': '19.77', 'perimeter_mean': '94.48', 'area_mean': '642.5', 'smoothness_mean': '0.09752', 'compactness_mean': '0.1141', 'concavity_mean': '0.09388', 'concave points_mean': '0.05839', 'symmetry_mean': '0.1879', 'fractal_dimension_mean': '0.0639', 'radius_se': '0.2895', 'texture_se': '1.851', 'perimeter_se': '2.376', 'area_se': '26.85', 'smoothness_se': '0.008005', 'compactness_se': '0.02895', 'concavity_se': '0.03321', 'concave points_se': '0.01424', 'symmetry_se': '0.01462', 'fractal_dimension_se': '0.004452', 'radius_worst': '16.33', 'texture_worst': '30.86', 'perimeter_worst': '109.5', 'area_worst': '826.4', 'smoothness_worst': '0.1431', 'compactness_worst': '0.3026', 'concavity_worst': '0.3194', 'concave points_worst': '0.1565', 'symmetry_worst': '0.2718', 'fractal_dimension_worst': '0.09353'}
{'id': '862717', 'diagnosis': 'M', 'radius_mean': '13.61', 'texture_mean': '24.98', 'perimeter_mean': '88.05', 'area_mean': '582.7', 'smoothness_mean': '0.09488', 'compactness_mean': '0.08511', 'concavity_mean': '0.08625', 'concave points_mean': '0.04489', 'symmetry_mean': '0.1609', 'fractal_dimension_mean': '0.05871', 'radius_se': '0.4565', 'texture_se': '1.29', 'perimeter_se': '2.861', 'area_se': '43.14', 'smoothness_se': '0.005872', 'compactness_se': '0.01488', 'concavity_se': '0.02647', 'concave points_se': '0.009921', 'symmetry_se': '0.01465', 'fractal_dimension_se': '0.002355', 'radius_worst': '16.99', 'texture_worst': '35.27', 'perimeter_worst': '108.6', 'area_worst': '906.5', 'smoothness_worst': '0.1265', 'compactness_worst': '0.1943', 'concavity_worst': '0.3169', 'concave points_worst': '0.1184', 'symmetry_worst': '0.2651', 'fractal_dimension_worst': '0.07397'}
{'id': '862722', 'diagnosis': 'B', 'radius_mean': '6.981', 'texture_mean': '13.43', 'perimeter_mean': '43.79', 'area_mean': '143.5', 'smoothness_mean': '0.117', 'compactness_mean': '0.07568', 'concavity_mean': '0', 'concave points_mean': '0', 'symmetry_mean': '0.193', 'fractal_dimension_mean': '0.07818', 'radius_se': '0.2241', 'texture_se': '1.508', 'perimeter_se': '1.553', 'area_se': '9.833', 'smoothness_se': '0.01019', 'compactness_se': '0.01084', 'concavity_se': '0', 'concave points_se': '0', 'symmetry_se': '0.02659', 'fractal_dimension_se': '0.0041', 'radius_worst': '7.93', 'texture_worst': '19.54', 'perimeter_worst': '50.41', 'area_worst': '185.2', 'smoothness_worst': '0.1584', 'compactness_worst': '0.1202', 'concavity_worst': '0', 'concave points_worst': '0', 'symmetry_worst': '0.2932', 'fractal_dimension_worst': '0.09382'}
{'id': '862965', 'diagnosis': 'B', 'radius_mean': '12.18', 'texture_mean': '20.52', 'perimeter_mean': '77.22', 'area_mean': '458.7', 'smoothness_mean': '0.08013', 'compactness_mean': '0.04038', 'concavity_mean': '0.02383', 'concave points_mean': '0.0177', 'symmetry_mean': '0.1739', 'fractal_dimension_mean': '0.05677', 'radius_se': '0.1924', 'texture_se': '1.571', 'perimeter_se': '1.183', 'area_se': '14.68', 'smoothness_se': '0.00508', 'compactness_se': '0.006098', 'concavity_se': '0.01069', 'concave points_se': '0.006797', 'symmetry_se': '0.01447', 'fractal_dimension_se': '0.001532', 'radius_worst': '13.34', 'texture_worst': '32.84', 'perimeter_worst': '84.58', 'area_worst': '547.8', 'smoothness_worst': '0.1123', 'compactness_worst': '0.08862', 'concavity_worst': '0.1145', 'concave points_worst': '0.07431', 'symmetry_worst': '0.2694', 'fractal_dimension_worst': '0.06878'}
{'id': '862980', 'diagnosis': 'B', 'radius_mean': '9.876', 'texture_mean': '19.4', 'perimeter_mean': '63.95', 'area_mean': '298.3', 'smoothness_mean': '0.1005', 'compactness_mean': '0.09697', 'concavity_mean': '0.06154', 'concave points_mean': '0.03029', 'symmetry_mean': '0.1945', 'fractal_dimension_mean': '0.06322', 'radius_se': '0.1803', 'texture_se': '1.222', 'perimeter_se': '1.528', 'area_se': '11.77', 'smoothness_se': '0.009058', 'compactness_se': '0.02196', 'concavity_se': '0.03029', 'concave points_se': '0.01112', 'symmetry_se': '0.01609', 'fractal_dimension_se': '0.00357', 'radius_worst': '10.76', 'texture_worst': '26.83', 'perimeter_worst': '72.22', 'area_worst': '361.2', 'smoothness_worst': '0.1559', 'compactness_worst': '0.2302', 'concavity_worst': '0.2644', 'concave points_worst': '0.09749', 'symmetry_worst': '0.2622', 'fractal_dimension_worst': '0.0849'}
{'id': '862989', 'diagnosis': 'B', 'radius_mean': '10.49', 'texture_mean': '19.29', 'perimeter_mean': '67.41', 'area_mean': '336.1', 'smoothness_mean': '0.09989', 'compactness_mean': '0.08578', 'concavity_mean': '0.02995', 'concave points_mean': '0.01201', 'symmetry_mean': '0.2217', 'fractal_dimension_mean': '0.06481', 'radius_se': '0.355', 'texture_se': '1.534', 'perimeter_se': '2.302', 'area_se': '23.13', 'smoothness_se': '0.007595', 'compactness_se': '0.02219', 'concavity_se': '0.0288', 'concave points_se': '0.008614', 'symmetry_se': '0.0271', 'fractal_dimension_se': '0.003451', 'radius_worst': '11.54', 'texture_worst': '23.31', 'perimeter_worst': '74.22', 'area_worst': '402.8', 'smoothness_worst': '0.1219', 'compactness_worst': '0.1486', 'concavity_worst': '0.07987', 'concave points_worst': '0.03203', 'symmetry_worst': '0.2826', 'fractal_dimension_worst': '0.07552'}
{'id': '863030', 'diagnosis': 'M', 'radius_mean': '13.11', 'texture_mean': '15.56', 'perimeter_mean': '87.21', 'area_mean': '530.2', 'smoothness_mean': '0.1398', 'compactness_mean': '0.1765', 'concavity_mean': '0.2071', 'concave points_mean': '0.09601', 'symmetry_mean': '0.1925', 'fractal_dimension_mean': '0.07692', 'radius_se': '0.3908', 'texture_se': '0.9238', 'perimeter_se': '2.41', 'area_se': '34.66', 'smoothness_se': '0.007162', 'compactness_se': '0.02912', 'concavity_se': '0.05473', 'concave points_se': '0.01388', 'symmetry_se': '0.01547', 'fractal_dimension_se': '0.007098', 'radius_worst': '16.31', 'texture_worst': '22.4', 'perimeter_worst': '106.4', 'area_worst': '827.2', 'smoothness_worst': '0.1862', 'compactness_worst': '0.4099', 'concavity_worst': '0.6376', 'concave points_worst': '0.1986', 'symmetry_worst': '0.3147', 'fractal_dimension_worst': '0.1405'}
{'id': '863031', 'diagnosis': 'B', 'radius_mean': '11.64', 'texture_mean': '18.33', 'perimeter_mean': '75.17', 'area_mean': '412.5', 'smoothness_mean': '0.1142', 'compactness_mean': '0.1017', 'concavity_mean': '0.0707', 'concave points_mean': '0.03485', 'symmetry_mean': '0.1801', 'fractal_dimension_mean': '0.0652', 'radius_se': '0.306', 'texture_se': '1.657', 'perimeter_se': '2.155', 'area_se': '20.62', 'smoothness_se': '0.00854', 'compactness_se': '0.0231', 'concavity_se': '0.02945', 'concave points_se': '0.01398', 'symmetry_se': '0.01565', 'fractal_dimension_se': '0.00384', 'radius_worst': '13.14', 'texture_worst': '29.26', 'perimeter_worst': '85.51', 'area_worst': '521.7', 'smoothness_worst': '0.1688', 'compactness_worst': '0.266', 'concavity_worst': '0.2873', 'concave points_worst': '0.1218', 'symmetry_worst': '0.2806', 'fractal_dimension_worst': '0.09097'}
{'id': '863270', 'diagnosis': 'B', 'radius_mean': '12.36', 'texture_mean': '18.54', 'perimeter_mean': '79.01', 'area_mean': '466.7', 'smoothness_mean': '0.08477', 'compactness_mean': '0.06815', 'concavity_mean': '0.02643', 'concave points_mean': '0.01921', 'symmetry_mean': '0.1602', 'fractal_dimension_mean': '0.06066', 'radius_se': '0.1199', 'texture_se': '0.8944', 'perimeter_se': '0.8484', 'area_se': '9.227', 'smoothness_se': '0.003457', 'compactness_se': '0.01047', 'concavity_se': '0.01167', 'concave points_se': '0.005558', 'symmetry_se': '0.01251', 'fractal_dimension_se': '0.001356', 'radius_worst': '13.29', 'texture_worst': '27.49', 'perimeter_worst': '85.56', 'area_worst': '544.1', 'smoothness_worst': '0.1184', 'compactness_worst': '0.1963', 'concavity_worst': '0.1937', 'concave points_worst': '0.08442', 'symmetry_worst': '0.2983', 'fractal_dimension_worst': '0.07185'}
{'id': '86355', 'diagnosis': 'M', 'radius_mean': '22.27', 'texture_mean': '19.67', 'perimeter_mean': '152.8', 'area_mean': '1509', 'smoothness_mean': '0.1326', 'compactness_mean': '0.2768', 'concavity_mean': '0.4264', 'concave points_mean': '0.1823', 'symmetry_mean': '0.2556', 'fractal_dimension_mean': '0.07039', 'radius_se': '1.215', 'texture_se': '1.545', 'perimeter_se': '10.05', 'area_se': '170', 'smoothness_se': '0.006515', 'compactness_se': '0.08668', 'concavity_se': '0.104', 'concave points_se': '0.0248', 'symmetry_se': '0.03112', 'fractal_dimension_se': '0.005037', 'radius_worst': '28.4', 'texture_worst': '28.01', 'perimeter_worst': '206.8', 'area_worst': '2360', 'smoothness_worst': '0.1701', 'compactness_worst': '0.6997', 'concavity_worst': '0.9608', 'concave points_worst': '0.291', 'symmetry_worst': '0.4055', 'fractal_dimension_worst': '0.09789'}
{'id': '864018', 'diagnosis': 'B', 'radius_mean': '11.34', 'texture_mean': '21.26', 'perimeter_mean': '72.48', 'area_mean': '396.5', 'smoothness_mean': '0.08759', 'compactness_mean': '0.06575', 'concavity_mean': '0.05133', 'concave points_mean': '0.01899', 'symmetry_mean': '0.1487', 'fractal_dimension_mean': '0.06529', 'radius_se': '0.2344', 'texture_se': '0.9861', 'perimeter_se': '1.597', 'area_se': '16.41', 'smoothness_se': '0.009113', 'compactness_se': '0.01557', 'concavity_se': '0.02443', 'concave points_se': '0.006435', 'symmetry_se': '0.01568', 'fractal_dimension_se': '0.002477', 'radius_worst': '13.01', 'texture_worst': '29.15', 'perimeter_worst': '83.99', 'area_worst': '518.1', 'smoothness_worst': '0.1699', 'compactness_worst': '0.2196', 'concavity_worst': '0.312', 'concave points_worst': '0.08278', 'symmetry_worst': '0.2829', 'fractal_dimension_worst': '0.08832'}
{'id': '864033', 'diagnosis': 'B', 'radius_mean': '9.777', 'texture_mean': '16.99', 'perimeter_mean': '62.5', 'area_mean': '290.2', 'smoothness_mean': '0.1037', 'compactness_mean': '0.08404', 'concavity_mean': '0.04334', 'concave points_mean': '0.01778', 'symmetry_mean': '0.1584', 'fractal_dimension_mean': '0.07065', 'radius_se': '0.403', 'texture_se': '1.424', 'perimeter_se': '2.747', 'area_se': '22.87', 'smoothness_se': '0.01385', 'compactness_se': '0.02932', 'concavity_se': '0.02722', 'concave points_se': '0.01023', 'symmetry_se': '0.03281', 'fractal_dimension_se': '0.004638', 'radius_worst': '11.05', 'texture_worst': '21.47', 'perimeter_worst': '71.68', 'area_worst': '367', 'smoothness_worst': '0.1467', 'compactness_worst': '0.1765', 'concavity_worst': '0.13', 'concave points_worst': '0.05334', 'symmetry_worst': '0.2533', 'fractal_dimension_worst': '0.08468'}
{'id': '86408', 'diagnosis': 'B', 'radius_mean': '12.63', 'texture_mean': '20.76', 'perimeter_mean': '82.15', 'area_mean': '480.4', 'smoothness_mean': '0.09933', 'compactness_mean': '0.1209', 'concavity_mean': '0.1065', 'concave points_mean': '0.06021', 'symmetry_mean': '0.1735', 'fractal_dimension_mean': '0.0707', 'radius_se': '0.3424', 'texture_se': '1.803', 'perimeter_se': '2.711', 'area_se': '20.48', 'smoothness_se': '0.01291', 'compactness_se': '0.04042', 'concavity_se': '0.05101', 'concave points_se': '0.02295', 'symmetry_se': '0.02144', 'fractal_dimension_se': '0.005891', 'radius_worst': '13.33', 'texture_worst': '25.47', 'perimeter_worst': '89', 'area_worst': '527.4', 'smoothness_worst': '0.1287', 'compactness_worst': '0.225', 'concavity_worst': '0.2216', 'concave points_worst': '0.1105', 'symmetry_worst': '0.2226', 'fractal_dimension_worst': '0.08486'}
{'id': '86409', 'diagnosis': 'B', 'radius_mean': '14.26', 'texture_mean': '19.65', 'perimeter_mean': '97.83', 'area_mean': '629.9', 'smoothness_mean': '0.07837', 'compactness_mean': '0.2233', 'concavity_mean': '0.3003', 'concave points_mean': '0.07798', 'symmetry_mean': '0.1704', 'fractal_dimension_mean': '0.07769', 'radius_se': '0.3628', 'texture_se': '1.49', 'perimeter_se': '3.399', 'area_se': '29.25', 'smoothness_se': '0.005298', 'compactness_se': '0.07446', 'concavity_se': '0.1435', 'concave points_se': '0.02292', 'symmetry_se': '0.02566', 'fractal_dimension_se': '0.01298', 'radius_worst': '15.3', 'texture_worst': '23.73', 'perimeter_worst': '107', 'area_worst': '709', 'smoothness_worst': '0.08949', 'compactness_worst': '0.4193', 'concavity_worst': '0.6783', 'concave points_worst': '0.1505', 'symmetry_worst': '0.2398', 'fractal_dimension_worst': '0.1082'}
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{'id': '864496', 'diagnosis': 'B', 'radius_mean': '8.726', 'texture_mean': '15.83', 'perimeter_mean': '55.84', 'area_mean': '230.9', 'smoothness_mean': '0.115', 'compactness_mean': '0.08201', 'concavity_mean': '0.04132', 'concave points_mean': '0.01924', 'symmetry_mean': '0.1649', 'fractal_dimension_mean': '0.07633', 'radius_se': '0.1665', 'texture_se': '0.5864', 'perimeter_se': '1.354', 'area_se': '8.966', 'smoothness_se': '0.008261', 'compactness_se': '0.02213', 'concavity_se': '0.03259', 'concave points_se': '0.0104', 'symmetry_se': '0.01708', 'fractal_dimension_se': '0.003806', 'radius_worst': '9.628', 'texture_worst': '19.62', 'perimeter_worst': '64.48', 'area_worst': '284.4', 'smoothness_worst': '0.1724', 'compactness_worst': '0.2364', 'concavity_worst': '0.2456', 'concave points_worst': '0.105', 'symmetry_worst': '0.2926', 'fractal_dimension_worst': '0.1017'}
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{'id': '864729', 'diagnosis': 'M', 'radius_mean': '14.87', 'texture_mean': '16.67', 'perimeter_mean': '98.64', 'area_mean': '682.5', 'smoothness_mean': '0.1162', 'compactness_mean': '0.1649', 'concavity_mean': '0.169', 'concave points_mean': '0.08923', 'symmetry_mean': '0.2157', 'fractal_dimension_mean': '0.06768', 'radius_se': '0.4266', 'texture_se': '0.9489', 'perimeter_se': '2.989', 'area_se': '41.18', 'smoothness_se': '0.006985', 'compactness_se': '0.02563', 'concavity_se': '0.03011', 'concave points_se': '0.01271', 'symmetry_se': '0.01602', 'fractal_dimension_se': '0.003884', 'radius_worst': '18.81', 'texture_worst': '27.37', 'perimeter_worst': '127.1', 'area_worst': '1095', 'smoothness_worst': '0.1878', 'compactness_worst': '0.448', 'concavity_worst': '0.4704', 'concave points_worst': '0.2027', 'symmetry_worst': '0.3585', 'fractal_dimension_worst': '0.1065'}
{'id': '864877', 'diagnosis': 'M', 'radius_mean': '15.78', 'texture_mean': '22.91', 'perimeter_mean': '105.7', 'area_mean': '782.6', 'smoothness_mean': '0.1155', 'compactness_mean': '0.1752', 'concavity_mean': '0.2133', 'concave points_mean': '0.09479', 'symmetry_mean': '0.2096', 'fractal_dimension_mean': '0.07331', 'radius_se': '0.552', 'texture_se': '1.072', 'perimeter_se': '3.598', 'area_se': '58.63', 'smoothness_se': '0.008699', 'compactness_se': '0.03976', 'concavity_se': '0.0595', 'concave points_se': '0.0139', 'symmetry_se': '0.01495', 'fractal_dimension_se': '0.005984', 'radius_worst': '20.19', 'texture_worst': '30.5', 'perimeter_worst': '130.3', 'area_worst': '1272', 'smoothness_worst': '0.1855', 'compactness_worst': '0.4925', 'concavity_worst': '0.7356', 'concave points_worst': '0.2034', 'symmetry_worst': '0.3274', 'fractal_dimension_worst': '0.1252'}
{'id': '865128', 'diagnosis': 'M', 'radius_mean': '17.95', 'texture_mean': '20.01', 'perimeter_mean': '114.2', 'area_mean': '982', 'smoothness_mean': '0.08402', 'compactness_mean': '0.06722', 'concavity_mean': '0.07293', 'concave points_mean': '0.05596', 'symmetry_mean': '0.2129', 'fractal_dimension_mean': '0.05025', 'radius_se': '0.5506', 'texture_se': '1.214', 'perimeter_se': '3.357', 'area_se': '54.04', 'smoothness_se': '0.004024', 'compactness_se': '0.008422', 'concavity_se': '0.02291', 'concave points_se': '0.009863', 'symmetry_se': '0.05014', 'fractal_dimension_se': '0.001902', 'radius_worst': '20.58', 'texture_worst': '27.83', 'perimeter_worst': '129.2', 'area_worst': '1261', 'smoothness_worst': '0.1072', 'compactness_worst': '0.1202', 'concavity_worst': '0.2249', 'concave points_worst': '0.1185', 'symmetry_worst': '0.4882', 'fractal_dimension_worst': '0.06111'}
{'id': '865137', 'diagnosis': 'B', 'radius_mean': '11.41', 'texture_mean': '10.82', 'perimeter_mean': '73.34', 'area_mean': '403.3', 'smoothness_mean': '0.09373', 'compactness_mean': '0.06685', 'concavity_mean': '0.03512', 'concave points_mean': '0.02623', 'symmetry_mean': '0.1667', 'fractal_dimension_mean': '0.06113', 'radius_se': '0.1408', 'texture_se': '0.4607', 'perimeter_se': '1.103', 'area_se': '10.5', 'smoothness_se': '0.00604', 'compactness_se': '0.01529', 'concavity_se': '0.01514', 'concave points_se': '0.00646', 'symmetry_se': '0.01344', 'fractal_dimension_se': '0.002206', 'radius_worst': '12.82', 'texture_worst': '15.97', 'perimeter_worst': '83.74', 'area_worst': '510.5', 'smoothness_worst': '0.1548', 'compactness_worst': '0.239', 'concavity_worst': '0.2102', 'concave points_worst': '0.08958', 'symmetry_worst': '0.3016', 'fractal_dimension_worst': '0.08523'}
{'id': '86517', 'diagnosis': 'M', 'radius_mean': '18.66', 'texture_mean': '17.12', 'perimeter_mean': '121.4', 'area_mean': '1077', 'smoothness_mean': '0.1054', 'compactness_mean': '0.11', 'concavity_mean': '0.1457', 'concave points_mean': '0.08665', 'symmetry_mean': '0.1966', 'fractal_dimension_mean': '0.06213', 'radius_se': '0.7128', 'texture_se': '1.581', 'perimeter_se': '4.895', 'area_se': '90.47', 'smoothness_se': '0.008102', 'compactness_se': '0.02101', 'concavity_se': '0.03342', 'concave points_se': '0.01601', 'symmetry_se': '0.02045', 'fractal_dimension_se': '0.00457', 'radius_worst': '22.25', 'texture_worst': '24.9', 'perimeter_worst': '145.4', 'area_worst': '1549', 'smoothness_worst': '0.1503', 'compactness_worst': '0.2291', 'concavity_worst': '0.3272', 'concave points_worst': '0.1674', 'symmetry_worst': '0.2894', 'fractal_dimension_worst': '0.08456'}
{'id': '865423', 'diagnosis': 'M', 'radius_mean': '24.25', 'texture_mean': '20.2', 'perimeter_mean': '166.2', 'area_mean': '1761', 'smoothness_mean': '0.1447', 'compactness_mean': '0.2867', 'concavity_mean': '0.4268', 'concave points_mean': '0.2012', 'symmetry_mean': '0.2655', 'fractal_dimension_mean': '0.06877', 'radius_se': '1.509', 'texture_se': '3.12', 'perimeter_se': '9.807', 'area_se': '233', 'smoothness_se': '0.02333', 'compactness_se': '0.09806', 'concavity_se': '0.1278', 'concave points_se': '0.01822', 'symmetry_se': '0.04547', 'fractal_dimension_se': '0.009875', 'radius_worst': '26.02', 'texture_worst': '23.99', 'perimeter_worst': '180.9', 'area_worst': '2073', 'smoothness_worst': '0.1696', 'compactness_worst': '0.4244', 'concavity_worst': '0.5803', 'concave points_worst': '0.2248', 'symmetry_worst': '0.3222', 'fractal_dimension_worst': '0.08009'}
{'id': '865432', 'diagnosis': 'B', 'radius_mean': '14.5', 'texture_mean': '10.89', 'perimeter_mean': '94.28', 'area_mean': '640.7', 'smoothness_mean': '0.1101', 'compactness_mean': '0.1099', 'concavity_mean': '0.08842', 'concave points_mean': '0.05778', 'symmetry_mean': '0.1856', 'fractal_dimension_mean': '0.06402', 'radius_se': '0.2929', 'texture_se': '0.857', 'perimeter_se': '1.928', 'area_se': '24.19', 'smoothness_se': '0.003818', 'compactness_se': '0.01276', 'concavity_se': '0.02882', 'concave points_se': '0.012', 'symmetry_se': '0.0191', 'fractal_dimension_se': '0.002808', 'radius_worst': '15.7', 'texture_worst': '15.98', 'perimeter_worst': '102.8', 'area_worst': '745.5', 'smoothness_worst': '0.1313', 'compactness_worst': '0.1788', 'concavity_worst': '0.256', 'concave points_worst': '0.1221', 'symmetry_worst': '0.2889', 'fractal_dimension_worst': '0.08006'}
{'id': '865468', 'diagnosis': 'B', 'radius_mean': '13.37', 'texture_mean': '16.39', 'perimeter_mean': '86.1', 'area_mean': '553.5', 'smoothness_mean': '0.07115', 'compactness_mean': '0.07325', 'concavity_mean': '0.08092', 'concave points_mean': '0.028', 'symmetry_mean': '0.1422', 'fractal_dimension_mean': '0.05823', 'radius_se': '0.1639', 'texture_se': '1.14', 'perimeter_se': '1.223', 'area_se': '14.66', 'smoothness_se': '0.005919', 'compactness_se': '0.0327', 'concavity_se': '0.04957', 'concave points_se': '0.01038', 'symmetry_se': '0.01208', 'fractal_dimension_se': '0.004076', 'radius_worst': '14.26', 'texture_worst': '22.75', 'perimeter_worst': '91.99', 'area_worst': '632.1', 'smoothness_worst': '0.1025', 'compactness_worst': '0.2531', 'concavity_worst': '0.3308', 'concave points_worst': '0.08978', 'symmetry_worst': '0.2048', 'fractal_dimension_worst': '0.07628'}
{'id': '86561', 'diagnosis': 'B', 'radius_mean': '13.85', 'texture_mean': '17.21', 'perimeter_mean': '88.44', 'area_mean': '588.7', 'smoothness_mean': '0.08785', 'compactness_mean': '0.06136', 'concavity_mean': '0.0142', 'concave points_mean': '0.01141', 'symmetry_mean': '0.1614', 'fractal_dimension_mean': '0.0589', 'radius_se': '0.2185', 'texture_se': '0.8561', 'perimeter_se': '1.495', 'area_se': '17.91', 'smoothness_se': '0.004599', 'compactness_se': '0.009169', 'concavity_se': '0.009127', 'concave points_se': '0.004814', 'symmetry_se': '0.01247', 'fractal_dimension_se': '0.001708', 'radius_worst': '15.49', 'texture_worst': '23.58', 'perimeter_worst': '100.3', 'area_worst': '725.9', 'smoothness_worst': '0.1157', 'compactness_worst': '0.135', 'concavity_worst': '0.08115', 'concave points_worst': '0.05104', 'symmetry_worst': '0.2364', 'fractal_dimension_worst': '0.07182'}
{'id': '866083', 'diagnosis': 'M', 'radius_mean': '13.61', 'texture_mean': '24.69', 'perimeter_mean': '87.76', 'area_mean': '572.6', 'smoothness_mean': '0.09258', 'compactness_mean': '0.07862', 'concavity_mean': '0.05285', 'concave points_mean': '0.03085', 'symmetry_mean': '0.1761', 'fractal_dimension_mean': '0.0613', 'radius_se': '0.231', 'texture_se': '1.005', 'perimeter_se': '1.752', 'area_se': '19.83', 'smoothness_se': '0.004088', 'compactness_se': '0.01174', 'concavity_se': '0.01796', 'concave points_se': '0.00688', 'symmetry_se': '0.01323', 'fractal_dimension_se': '0.001465', 'radius_worst': '16.89', 'texture_worst': '35.64', 'perimeter_worst': '113.2', 'area_worst': '848.7', 'smoothness_worst': '0.1471', 'compactness_worst': '0.2884', 'concavity_worst': '0.3796', 'concave points_worst': '0.1329', 'symmetry_worst': '0.347', 'fractal_dimension_worst': '0.079'}
{'id': '866203', 'diagnosis': 'M', 'radius_mean': '19', 'texture_mean': '18.91', 'perimeter_mean': '123.4', 'area_mean': '1138', 'smoothness_mean': '0.08217', 'compactness_mean': '0.08028', 'concavity_mean': '0.09271', 'concave points_mean': '0.05627', 'symmetry_mean': '0.1946', 'fractal_dimension_mean': '0.05044', 'radius_se': '0.6896', 'texture_se': '1.342', 'perimeter_se': '5.216', 'area_se': '81.23', 'smoothness_se': '0.004428', 'compactness_se': '0.02731', 'concavity_se': '0.0404', 'concave points_se': '0.01361', 'symmetry_se': '0.0203', 'fractal_dimension_se': '0.002686', 'radius_worst': '22.32', 'texture_worst': '25.73', 'perimeter_worst': '148.2', 'area_worst': '1538', 'smoothness_worst': '0.1021', 'compactness_worst': '0.2264', 'concavity_worst': '0.3207', 'concave points_worst': '0.1218', 'symmetry_worst': '0.2841', 'fractal_dimension_worst': '0.06541'}
{'id': '866458', 'diagnosis': 'B', 'radius_mean': '15.1', 'texture_mean': '16.39', 'perimeter_mean': '99.58', 'area_mean': '674.5', 'smoothness_mean': '0.115', 'compactness_mean': '0.1807', 'concavity_mean': '0.1138', 'concave points_mean': '0.08534', 'symmetry_mean': '0.2001', 'fractal_dimension_mean': '0.06467', 'radius_se': '0.4309', 'texture_se': '1.068', 'perimeter_se': '2.796', 'area_se': '39.84', 'smoothness_se': '0.009006', 'compactness_se': '0.04185', 'concavity_se': '0.03204', 'concave points_se': '0.02258', 'symmetry_se': '0.02353', 'fractal_dimension_se': '0.004984', 'radius_worst': '16.11', 'texture_worst': '18.33', 'perimeter_worst': '105.9', 'area_worst': '762.6', 'smoothness_worst': '0.1386', 'compactness_worst': '0.2883', 'concavity_worst': '0.196', 'concave points_worst': '0.1423', 'symmetry_worst': '0.259', 'fractal_dimension_worst': '0.07779'}
{'id': '866674', 'diagnosis': 'M', 'radius_mean': '19.79', 'texture_mean': '25.12', 'perimeter_mean': '130.4', 'area_mean': '1192', 'smoothness_mean': '0.1015', 'compactness_mean': '0.1589', 'concavity_mean': '0.2545', 'concave points_mean': '0.1149', 'symmetry_mean': '0.2202', 'fractal_dimension_mean': '0.06113', 'radius_se': '0.4953', 'texture_se': '1.199', 'perimeter_se': '2.765', 'area_se': '63.33', 'smoothness_se': '0.005033', 'compactness_se': '0.03179', 'concavity_se': '0.04755', 'concave points_se': '0.01043', 'symmetry_se': '0.01578', 'fractal_dimension_se': '0.003224', 'radius_worst': '22.63', 'texture_worst': '33.58', 'perimeter_worst': '148.7', 'area_worst': '1589', 'smoothness_worst': '0.1275', 'compactness_worst': '0.3861', 'concavity_worst': '0.5673', 'concave points_worst': '0.1732', 'symmetry_worst': '0.3305', 'fractal_dimension_worst': '0.08465'}
{'id': '866714', 'diagnosis': 'B', 'radius_mean': '12.19', 'texture_mean': '13.29', 'perimeter_mean': '79.08', 'area_mean': '455.8', 'smoothness_mean': '0.1066', 'compactness_mean': '0.09509', 'concavity_mean': '0.02855', 'concave points_mean': '0.02882', 'symmetry_mean': '0.188', 'fractal_dimension_mean': '0.06471', 'radius_se': '0.2005', 'texture_se': '0.8163', 'perimeter_se': '1.973', 'area_se': '15.24', 'smoothness_se': '0.006773', 'compactness_se': '0.02456', 'concavity_se': '0.01018', 'concave points_se': '0.008094', 'symmetry_se': '0.02662', 'fractal_dimension_se': '0.004143', 'radius_worst': '13.34', 'texture_worst': '17.81', 'perimeter_worst': '91.38', 'area_worst': '545.2', 'smoothness_worst': '0.1427', 'compactness_worst': '0.2585', 'concavity_worst': '0.09915', 'concave points_worst': '0.08187', 'symmetry_worst': '0.3469', 'fractal_dimension_worst': '0.09241'}
{'id': '8670', 'diagnosis': 'M', 'radius_mean': '15.46', 'texture_mean': '19.48', 'perimeter_mean': '101.7', 'area_mean': '748.9', 'smoothness_mean': '0.1092', 'compactness_mean': '0.1223', 'concavity_mean': '0.1466', 'concave points_mean': '0.08087', 'symmetry_mean': '0.1931', 'fractal_dimension_mean': '0.05796', 'radius_se': '0.4743', 'texture_se': '0.7859', 'perimeter_se': '3.094', 'area_se': '48.31', 'smoothness_se': '0.00624', 'compactness_se': '0.01484', 'concavity_se': '0.02813', 'concave points_se': '0.01093', 'symmetry_se': '0.01397', 'fractal_dimension_se': '0.002461', 'radius_worst': '19.26', 'texture_worst': '26', 'perimeter_worst': '124.9', 'area_worst': '1156', 'smoothness_worst': '0.1546', 'compactness_worst': '0.2394', 'concavity_worst': '0.3791', 'concave points_worst': '0.1514', 'symmetry_worst': '0.2837', 'fractal_dimension_worst': '0.08019'}
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{'id': '867387', 'diagnosis': 'B', 'radius_mean': '15.71', 'texture_mean': '13.93', 'perimeter_mean': '102', 'area_mean': '761.7', 'smoothness_mean': '0.09462', 'compactness_mean': '0.09462', 'concavity_mean': '0.07135', 'concave points_mean': '0.05933', 'symmetry_mean': '0.1816', 'fractal_dimension_mean': '0.05723', 'radius_se': '0.3117', 'texture_se': '0.8155', 'perimeter_se': '1.972', 'area_se': '27.94', 'smoothness_se': '0.005217', 'compactness_se': '0.01515', 'concavity_se': '0.01678', 'concave points_se': '0.01268', 'symmetry_se': '0.01669', 'fractal_dimension_se': '0.00233', 'radius_worst': '17.5', 'texture_worst': '19.25', 'perimeter_worst': '114.3', 'area_worst': '922.8', 'smoothness_worst': '0.1223', 'compactness_worst': '0.1949', 'concavity_worst': '0.1709', 'concave points_worst': '0.1374', 'symmetry_worst': '0.2723', 'fractal_dimension_worst': '0.07071'}
{'id': '867739', 'diagnosis': 'M', 'radius_mean': '18.45', 'texture_mean': '21.91', 'perimeter_mean': '120.2', 'area_mean': '1075', 'smoothness_mean': '0.0943', 'compactness_mean': '0.09709', 'concavity_mean': '0.1153', 'concave points_mean': '0.06847', 'symmetry_mean': '0.1692', 'fractal_dimension_mean': '0.05727', 'radius_se': '0.5959', 'texture_se': '1.202', 'perimeter_se': '3.766', 'area_se': '68.35', 'smoothness_se': '0.006001', 'compactness_se': '0.01422', 'concavity_se': '0.02855', 'concave points_se': '0.009148', 'symmetry_se': '0.01492', 'fractal_dimension_se': '0.002205', 'radius_worst': '22.52', 'texture_worst': '31.39', 'perimeter_worst': '145.6', 'area_worst': '1590', 'smoothness_worst': '0.1465', 'compactness_worst': '0.2275', 'concavity_worst': '0.3965', 'concave points_worst': '0.1379', 'symmetry_worst': '0.3109', 'fractal_dimension_worst': '0.0761'}
{'id': '868202', 'diagnosis': 'M', 'radius_mean': '12.77', 'texture_mean': '22.47', 'perimeter_mean': '81.72', 'area_mean': '506.3', 'smoothness_mean': '0.09055', 'compactness_mean': '0.05761', 'concavity_mean': '0.04711', 'concave points_mean': '0.02704', 'symmetry_mean': '0.1585', 'fractal_dimension_mean': '0.06065', 'radius_se': '0.2367', 'texture_se': '1.38', 'perimeter_se': '1.457', 'area_se': '19.87', 'smoothness_se': '0.007499', 'compactness_se': '0.01202', 'concavity_se': '0.02332', 'concave points_se': '0.00892', 'symmetry_se': '0.01647', 'fractal_dimension_se': '0.002629', 'radius_worst': '14.49', 'texture_worst': '33.37', 'perimeter_worst': '92.04', 'area_worst': '653.6', 'smoothness_worst': '0.1419', 'compactness_worst': '0.1523', 'concavity_worst': '0.2177', 'concave points_worst': '0.09331', 'symmetry_worst': '0.2829', 'fractal_dimension_worst': '0.08067'}
{'id': '868223', 'diagnosis': 'B', 'radius_mean': '11.71', 'texture_mean': '16.67', 'perimeter_mean': '74.72', 'area_mean': '423.6', 'smoothness_mean': '0.1051', 'compactness_mean': '0.06095', 'concavity_mean': '0.03592', 'concave points_mean': '0.026', 'symmetry_mean': '0.1339', 'fractal_dimension_mean': '0.05945', 'radius_se': '0.4489', 'texture_se': '2.508', 'perimeter_se': '3.258', 'area_se': '34.37', 'smoothness_se': '0.006578', 'compactness_se': '0.0138', 'concavity_se': '0.02662', 'concave points_se': '0.01307', 'symmetry_se': '0.01359', 'fractal_dimension_se': '0.003707', 'radius_worst': '13.33', 'texture_worst': '25.48', 'perimeter_worst': '86.16', 'area_worst': '546.7', 'smoothness_worst': '0.1271', 'compactness_worst': '0.1028', 'concavity_worst': '0.1046', 'concave points_worst': '0.06968', 'symmetry_worst': '0.1712', 'fractal_dimension_worst': '0.07343'}
{'id': '868682', 'diagnosis': 'B', 'radius_mean': '11.43', 'texture_mean': '15.39', 'perimeter_mean': '73.06', 'area_mean': '399.8', 'smoothness_mean': '0.09639', 'compactness_mean': '0.06889', 'concavity_mean': '0.03503', 'concave points_mean': '0.02875', 'symmetry_mean': '0.1734', 'fractal_dimension_mean': '0.05865', 'radius_se': '0.1759', 'texture_se': '0.9938', 'perimeter_se': '1.143', 'area_se': '12.67', 'smoothness_se': '0.005133', 'compactness_se': '0.01521', 'concavity_se': '0.01434', 'concave points_se': '0.008602', 'symmetry_se': '0.01501', 'fractal_dimension_se': '0.001588', 'radius_worst': '12.32', 'texture_worst': '22.02', 'perimeter_worst': '79.93', 'area_worst': '462', 'smoothness_worst': '0.119', 'compactness_worst': '0.1648', 'concavity_worst': '0.1399', 'concave points_worst': '0.08476', 'symmetry_worst': '0.2676', 'fractal_dimension_worst': '0.06765'}
{'id': '868826', 'diagnosis': 'M', 'radius_mean': '14.95', 'texture_mean': '17.57', 'perimeter_mean': '96.85', 'area_mean': '678.1', 'smoothness_mean': '0.1167', 'compactness_mean': '0.1305', 'concavity_mean': '0.1539', 'concave points_mean': '0.08624', 'symmetry_mean': '0.1957', 'fractal_dimension_mean': '0.06216', 'radius_se': '1.296', 'texture_se': '1.452', 'perimeter_se': '8.419', 'area_se': '101.9', 'smoothness_se': '0.01', 'compactness_se': '0.0348', 'concavity_se': '0.06577', 'concave points_se': '0.02801', 'symmetry_se': '0.05168', 'fractal_dimension_se': '0.002887', 'radius_worst': '18.55', 'texture_worst': '21.43', 'perimeter_worst': '121.4', 'area_worst': '971.4', 'smoothness_worst': '0.1411', 'compactness_worst': '0.2164', 'concavity_worst': '0.3355', 'concave points_worst': '0.1667', 'symmetry_worst': '0.3414', 'fractal_dimension_worst': '0.07147'}
{'id': '868871', 'diagnosis': 'B', 'radius_mean': '11.28', 'texture_mean': '13.39', 'perimeter_mean': '73', 'area_mean': '384.8', 'smoothness_mean': '0.1164', 'compactness_mean': '0.1136', 'concavity_mean': '0.04635', 'concave points_mean': '0.04796', 'symmetry_mean': '0.1771', 'fractal_dimension_mean': '0.06072', 'radius_se': '0.3384', 'texture_se': '1.343', 'perimeter_se': '1.851', 'area_se': '26.33', 'smoothness_se': '0.01127', 'compactness_se': '0.03498', 'concavity_se': '0.02187', 'concave points_se': '0.01965', 'symmetry_se': '0.0158', 'fractal_dimension_se': '0.003442', 'radius_worst': '11.92', 'texture_worst': '15.77', 'perimeter_worst': '76.53', 'area_worst': '434', 'smoothness_worst': '0.1367', 'compactness_worst': '0.1822', 'concavity_worst': '0.08669', 'concave points_worst': '0.08611', 'symmetry_worst': '0.2102', 'fractal_dimension_worst': '0.06784'}
{'id': '868999', 'diagnosis': 'B', 'radius_mean': '9.738', 'texture_mean': '11.97', 'perimeter_mean': '61.24', 'area_mean': '288.5', 'smoothness_mean': '0.0925', 'compactness_mean': '0.04102', 'concavity_mean': '0', 'concave points_mean': '0', 'symmetry_mean': '0.1903', 'fractal_dimension_mean': '0.06422', 'radius_se': '0.1988', 'texture_se': '0.496', 'perimeter_se': '1.218', 'area_se': '12.26', 'smoothness_se': '0.00604', 'compactness_se': '0.005656', 'concavity_se': '0', 'concave points_se': '0', 'symmetry_se': '0.02277', 'fractal_dimension_se': '0.00322', 'radius_worst': '10.62', 'texture_worst': '14.1', 'perimeter_worst': '66.53', 'area_worst': '342.9', 'smoothness_worst': '0.1234', 'compactness_worst': '0.07204', 'concavity_worst': '0', 'concave points_worst': '0', 'symmetry_worst': '0.3105', 'fractal_dimension_worst': '0.08151'}
{'id': '869104', 'diagnosis': 'M', 'radius_mean': '16.11', 'texture_mean': '18.05', 'perimeter_mean': '105.1', 'area_mean': '813', 'smoothness_mean': '0.09721', 'compactness_mean': '0.1137', 'concavity_mean': '0.09447', 'concave points_mean': '0.05943', 'symmetry_mean': '0.1861', 'fractal_dimension_mean': '0.06248', 'radius_se': '0.7049', 'texture_se': '1.332', 'perimeter_se': '4.533', 'area_se': '74.08', 'smoothness_se': '0.00677', 'compactness_se': '0.01938', 'concavity_se': '0.03067', 'concave points_se': '0.01167', 'symmetry_se': '0.01875', 'fractal_dimension_se': '0.003434', 'radius_worst': '19.92', 'texture_worst': '25.27', 'perimeter_worst': '129', 'area_worst': '1233', 'smoothness_worst': '0.1314', 'compactness_worst': '0.2236', 'concavity_worst': '0.2802', 'concave points_worst': '0.1216', 'symmetry_worst': '0.2792', 'fractal_dimension_worst': '0.08158'}
{'id': '869218', 'diagnosis': 'B', 'radius_mean': '11.43', 'texture_mean': '17.31', 'perimeter_mean': '73.66', 'area_mean': '398', 'smoothness_mean': '0.1092', 'compactness_mean': '0.09486', 'concavity_mean': '0.02031', 'concave points_mean': '0.01861', 'symmetry_mean': '0.1645', 'fractal_dimension_mean': '0.06562', 'radius_se': '0.2843', 'texture_se': '1.908', 'perimeter_se': '1.937', 'area_se': '21.38', 'smoothness_se': '0.006664', 'compactness_se': '0.01735', 'concavity_se': '0.01158', 'concave points_se': '0.00952', 'symmetry_se': '0.02282', 'fractal_dimension_se': '0.003526', 'radius_worst': '12.78', 'texture_worst': '26.76', 'perimeter_worst': '82.66', 'area_worst': '503', 'smoothness_worst': '0.1413', 'compactness_worst': '0.1792', 'concavity_worst': '0.07708', 'concave points_worst': '0.06402', 'symmetry_worst': '0.2584', 'fractal_dimension_worst': '0.08096'}
{'id': '869224', 'diagnosis': 'B', 'radius_mean': '12.9', 'texture_mean': '15.92', 'perimeter_mean': '83.74', 'area_mean': '512.2', 'smoothness_mean': '0.08677', 'compactness_mean': '0.09509', 'concavity_mean': '0.04894', 'concave points_mean': '0.03088', 'symmetry_mean': '0.1778', 'fractal_dimension_mean': '0.06235', 'radius_se': '0.2143', 'texture_se': '0.7712', 'perimeter_se': '1.689', 'area_se': '16.64', 'smoothness_se': '0.005324', 'compactness_se': '0.01563', 'concavity_se': '0.0151', 'concave points_se': '0.007584', 'symmetry_se': '0.02104', 'fractal_dimension_se': '0.001887', 'radius_worst': '14.48', 'texture_worst': '21.82', 'perimeter_worst': '97.17', 'area_worst': '643.8', 'smoothness_worst': '0.1312', 'compactness_worst': '0.2548', 'concavity_worst': '0.209', 'concave points_worst': '0.1012', 'symmetry_worst': '0.3549', 'fractal_dimension_worst': '0.08118'}
{'id': '869254', 'diagnosis': 'B', 'radius_mean': '10.75', 'texture_mean': '14.97', 'perimeter_mean': '68.26', 'area_mean': '355.3', 'smoothness_mean': '0.07793', 'compactness_mean': '0.05139', 'concavity_mean': '0.02251', 'concave points_mean': '0.007875', 'symmetry_mean': '0.1399', 'fractal_dimension_mean': '0.05688', 'radius_se': '0.2525', 'texture_se': '1.239', 'perimeter_se': '1.806', 'area_se': '17.74', 'smoothness_se': '0.006547', 'compactness_se': '0.01781', 'concavity_se': '0.02018', 'concave points_se': '0.005612', 'symmetry_se': '0.01671', 'fractal_dimension_se': '0.00236', 'radius_worst': '11.95', 'texture_worst': '20.72', 'perimeter_worst': '77.79', 'area_worst': '441.2', 'smoothness_worst': '0.1076', 'compactness_worst': '0.1223', 'concavity_worst': '0.09755', 'concave points_worst': '0.03413', 'symmetry_worst': '0.23', 'fractal_dimension_worst': '0.06769'}
{'id': '869476', 'diagnosis': 'B', 'radius_mean': '11.9', 'texture_mean': '14.65', 'perimeter_mean': '78.11', 'area_mean': '432.8', 'smoothness_mean': '0.1152', 'compactness_mean': '0.1296', 'concavity_mean': '0.0371', 'concave points_mean': '0.03003', 'symmetry_mean': '0.1995', 'fractal_dimension_mean': '0.07839', 'radius_se': '0.3962', 'texture_se': '0.6538', 'perimeter_se': '3.021', 'area_se': '25.03', 'smoothness_se': '0.01017', 'compactness_se': '0.04741', 'concavity_se': '0.02789', 'concave points_se': '0.0111', 'symmetry_se': '0.03127', 'fractal_dimension_se': '0.009423', 'radius_worst': '13.15', 'texture_worst': '16.51', 'perimeter_worst': '86.26', 'area_worst': '509.6', 'smoothness_worst': '0.1424', 'compactness_worst': '0.2517', 'concavity_worst': '0.0942', 'concave points_worst': '0.06042', 'symmetry_worst': '0.2727', 'fractal_dimension_worst': '0.1036'}
{'id': '869691', 'diagnosis': 'M', 'radius_mean': '11.8', 'texture_mean': '16.58', 'perimeter_mean': '78.99', 'area_mean': '432', 'smoothness_mean': '0.1091', 'compactness_mean': '0.17', 'concavity_mean': '0.1659', 'concave points_mean': '0.07415', 'symmetry_mean': '0.2678', 'fractal_dimension_mean': '0.07371', 'radius_se': '0.3197', 'texture_se': '1.426', 'perimeter_se': '2.281', 'area_se': '24.72', 'smoothness_se': '0.005427', 'compactness_se': '0.03633', 'concavity_se': '0.04649', 'concave points_se': '0.01843', 'symmetry_se': '0.05628', 'fractal_dimension_se': '0.004635', 'radius_worst': '13.74', 'texture_worst': '26.38', 'perimeter_worst': '91.93', 'area_worst': '591.7', 'smoothness_worst': '0.1385', 'compactness_worst': '0.4092', 'concavity_worst': '0.4504', 'concave points_worst': '0.1865', 'symmetry_worst': '0.5774', 'fractal_dimension_worst': '0.103'}
{'id': '86973701', 'diagnosis': 'B', 'radius_mean': '14.95', 'texture_mean': '18.77', 'perimeter_mean': '97.84', 'area_mean': '689.5', 'smoothness_mean': '0.08138', 'compactness_mean': '0.1167', 'concavity_mean': '0.0905', 'concave points_mean': '0.03562', 'symmetry_mean': '0.1744', 'fractal_dimension_mean': '0.06493', 'radius_se': '0.422', 'texture_se': '1.909', 'perimeter_se': '3.271', 'area_se': '39.43', 'smoothness_se': '0.00579', 'compactness_se': '0.04877', 'concavity_se': '0.05303', 'concave points_se': '0.01527', 'symmetry_se': '0.03356', 'fractal_dimension_se': '0.009368', 'radius_worst': '16.25', 'texture_worst': '25.47', 'perimeter_worst': '107.1', 'area_worst': '809.7', 'smoothness_worst': '0.0997', 'compactness_worst': '0.2521', 'concavity_worst': '0.25', 'concave points_worst': '0.08405', 'symmetry_worst': '0.2852', 'fractal_dimension_worst': '0.09218'}
{'id': '86973702', 'diagnosis': 'B', 'radius_mean': '14.44', 'texture_mean': '15.18', 'perimeter_mean': '93.97', 'area_mean': '640.1', 'smoothness_mean': '0.0997', 'compactness_mean': '0.1021', 'concavity_mean': '0.08487', 'concave points_mean': '0.05532', 'symmetry_mean': '0.1724', 'fractal_dimension_mean': '0.06081', 'radius_se': '0.2406', 'texture_se': '0.7394', 'perimeter_se': '2.12', 'area_se': '21.2', 'smoothness_se': '0.005706', 'compactness_se': '0.02297', 'concavity_se': '0.03114', 'concave points_se': '0.01493', 'symmetry_se': '0.01454', 'fractal_dimension_se': '0.002528', 'radius_worst': '15.85', 'texture_worst': '19.85', 'perimeter_worst': '108.6', 'area_worst': '766.9', 'smoothness_worst': '0.1316', 'compactness_worst': '0.2735', 'concavity_worst': '0.3103', 'concave points_worst': '0.1599', 'symmetry_worst': '0.2691', 'fractal_dimension_worst': '0.07683'}
{'id': '869931', 'diagnosis': 'B', 'radius_mean': '13.74', 'texture_mean': '17.91', 'perimeter_mean': '88.12', 'area_mean': '585', 'smoothness_mean': '0.07944', 'compactness_mean': '0.06376', 'concavity_mean': '0.02881', 'concave points_mean': '0.01329', 'symmetry_mean': '0.1473', 'fractal_dimension_mean': '0.0558', 'radius_se': '0.25', 'texture_se': '0.7574', 'perimeter_se': '1.573', 'area_se': '21.47', 'smoothness_se': '0.002838', 'compactness_se': '0.01592', 'concavity_se': '0.0178', 'concave points_se': '0.005828', 'symmetry_se': '0.01329', 'fractal_dimension_se': '0.001976', 'radius_worst': '15.34', 'texture_worst': '22.46', 'perimeter_worst': '97.19', 'area_worst': '725.9', 'smoothness_worst': '0.09711', 'compactness_worst': '0.1824', 'concavity_worst': '0.1564', 'concave points_worst': '0.06019', 'symmetry_worst': '0.235', 'fractal_dimension_worst': '0.07014'}
{'id': '871001501', 'diagnosis': 'B', 'radius_mean': '13', 'texture_mean': '20.78', 'perimeter_mean': '83.51', 'area_mean': '519.4', 'smoothness_mean': '0.1135', 'compactness_mean': '0.07589', 'concavity_mean': '0.03136', 'concave points_mean': '0.02645', 'symmetry_mean': '0.254', 'fractal_dimension_mean': '0.06087', 'radius_se': '0.4202', 'texture_se': '1.322', 'perimeter_se': '2.873', 'area_se': '34.78', 'smoothness_se': '0.007017', 'compactness_se': '0.01142', 'concavity_se': '0.01949', 'concave points_se': '0.01153', 'symmetry_se': '0.02951', 'fractal_dimension_se': '0.001533', 'radius_worst': '14.16', 'texture_worst': '24.11', 'perimeter_worst': '90.82', 'area_worst': '616.7', 'smoothness_worst': '0.1297', 'compactness_worst': '0.1105', 'concavity_worst': '0.08112', 'concave points_worst': '0.06296', 'symmetry_worst': '0.3196', 'fractal_dimension_worst': '0.06435'}
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{'id': '8710441', 'diagnosis': 'B', 'radius_mean': '9.731', 'texture_mean': '15.34', 'perimeter_mean': '63.78', 'area_mean': '300.2', 'smoothness_mean': '0.1072', 'compactness_mean': '0.1599', 'concavity_mean': '0.4108', 'concave points_mean': '0.07857', 'symmetry_mean': '0.2548', 'fractal_dimension_mean': '0.09296', 'radius_se': '0.8245', 'texture_se': '2.664', 'perimeter_se': '4.073', 'area_se': '49.85', 'smoothness_se': '0.01097', 'compactness_se': '0.09586', 'concavity_se': '0.396', 'concave points_se': '0.05279', 'symmetry_se': '0.03546', 'fractal_dimension_se': '0.02984', 'radius_worst': '11.02', 'texture_worst': '19.49', 'perimeter_worst': '71.04', 'area_worst': '380.5', 'smoothness_worst': '0.1292', 'compactness_worst': '0.2772', 'concavity_worst': '0.8216', 'concave points_worst': '0.1571', 'symmetry_worst': '0.3108', 'fractal_dimension_worst': '0.1259'}
{'id': '87106', 'diagnosis': 'B', 'radius_mean': '11.15', 'texture_mean': '13.08', 'perimeter_mean': '70.87', 'area_mean': '381.9', 'smoothness_mean': '0.09754', 'compactness_mean': '0.05113', 'concavity_mean': '0.01982', 'concave points_mean': '0.01786', 'symmetry_mean': '0.183', 'fractal_dimension_mean': '0.06105', 'radius_se': '0.2251', 'texture_se': '0.7815', 'perimeter_se': '1.429', 'area_se': '15.48', 'smoothness_se': '0.009019', 'compactness_se': '0.008985', 'concavity_se': '0.01196', 'concave points_se': '0.008232', 'symmetry_se': '0.02388', 'fractal_dimension_se': '0.001619', 'radius_worst': '11.99', 'texture_worst': '16.3', 'perimeter_worst': '76.25', 'area_worst': '440.8', 'smoothness_worst': '0.1341', 'compactness_worst': '0.08971', 'concavity_worst': '0.07116', 'concave points_worst': '0.05506', 'symmetry_worst': '0.2859', 'fractal_dimension_worst': '0.06772'}
{'id': '8711002', 'diagnosis': 'B', 'radius_mean': '13.15', 'texture_mean': '15.34', 'perimeter_mean': '85.31', 'area_mean': '538.9', 'smoothness_mean': '0.09384', 'compactness_mean': '0.08498', 'concavity_mean': '0.09293', 'concave points_mean': '0.03483', 'symmetry_mean': '0.1822', 'fractal_dimension_mean': '0.06207', 'radius_se': '0.271', 'texture_se': '0.7927', 'perimeter_se': '1.819', 'area_se': '22.79', 'smoothness_se': '0.008584', 'compactness_se': '0.02017', 'concavity_se': '0.03047', 'concave points_se': '0.009536', 'symmetry_se': '0.02769', 'fractal_dimension_se': '0.003479', 'radius_worst': '14.77', 'texture_worst': '20.5', 'perimeter_worst': '97.67', 'area_worst': '677.3', 'smoothness_worst': '0.1478', 'compactness_worst': '0.2256', 'concavity_worst': '0.3009', 'concave points_worst': '0.09722', 'symmetry_worst': '0.3849', 'fractal_dimension_worst': '0.08633'}
{'id': '8711003', 'diagnosis': 'B', 'radius_mean': '12.25', 'texture_mean': '17.94', 'perimeter_mean': '78.27', 'area_mean': '460.3', 'smoothness_mean': '0.08654', 'compactness_mean': '0.06679', 'concavity_mean': '0.03885', 'concave points_mean': '0.02331', 'symmetry_mean': '0.197', 'fractal_dimension_mean': '0.06228', 'radius_se': '0.22', 'texture_se': '0.9823', 'perimeter_se': '1.484', 'area_se': '16.51', 'smoothness_se': '0.005518', 'compactness_se': '0.01562', 'concavity_se': '0.01994', 'concave points_se': '0.007924', 'symmetry_se': '0.01799', 'fractal_dimension_se': '0.002484', 'radius_worst': '13.59', 'texture_worst': '25.22', 'perimeter_worst': '86.6', 'area_worst': '564.2', 'smoothness_worst': '0.1217', 'compactness_worst': '0.1788', 'concavity_worst': '0.1943', 'concave points_worst': '0.08211', 'symmetry_worst': '0.3113', 'fractal_dimension_worst': '0.08132'}
{'id': '8711202', 'diagnosis': 'M', 'radius_mean': '17.68', 'texture_mean': '20.74', 'perimeter_mean': '117.4', 'area_mean': '963.7', 'smoothness_mean': '0.1115', 'compactness_mean': '0.1665', 'concavity_mean': '0.1855', 'concave points_mean': '0.1054', 'symmetry_mean': '0.1971', 'fractal_dimension_mean': '0.06166', 'radius_se': '0.8113', 'texture_se': '1.4', 'perimeter_se': '5.54', 'area_se': '93.91', 'smoothness_se': '0.009037', 'compactness_se': '0.04954', 'concavity_se': '0.05206', 'concave points_se': '0.01841', 'symmetry_se': '0.01778', 'fractal_dimension_se': '0.004968', 'radius_worst': '20.47', 'texture_worst': '25.11', 'perimeter_worst': '132.9', 'area_worst': '1302', 'smoothness_worst': '0.1418', 'compactness_worst': '0.3498', 'concavity_worst': '0.3583', 'concave points_worst': '0.1515', 'symmetry_worst': '0.2463', 'fractal_dimension_worst': '0.07738'}
{'id': '8711216', 'diagnosis': 'B', 'radius_mean': '16.84', 'texture_mean': '19.46', 'perimeter_mean': '108.4', 'area_mean': '880.2', 'smoothness_mean': '0.07445', 'compactness_mean': '0.07223', 'concavity_mean': '0.0515', 'concave points_mean': '0.02771', 'symmetry_mean': '0.1844', 'fractal_dimension_mean': '0.05268', 'radius_se': '0.4789', 'texture_se': '2.06', 'perimeter_se': '3.479', 'area_se': '46.61', 'smoothness_se': '0.003443', 'compactness_se': '0.02661', 'concavity_se': '0.03056', 'concave points_se': '0.0111', 'symmetry_se': '0.0152', 'fractal_dimension_se': '0.001519', 'radius_worst': '18.22', 'texture_worst': '28.07', 'perimeter_worst': '120.3', 'area_worst': '1032', 'smoothness_worst': '0.08774', 'compactness_worst': '0.171', 'concavity_worst': '0.1882', 'concave points_worst': '0.08436', 'symmetry_worst': '0.2527', 'fractal_dimension_worst': '0.05972'}
{'id': '871122', 'diagnosis': 'B', 'radius_mean': '12.06', 'texture_mean': '12.74', 'perimeter_mean': '76.84', 'area_mean': '448.6', 'smoothness_mean': '0.09311', 'compactness_mean': '0.05241', 'concavity_mean': '0.01972', 'concave points_mean': '0.01963', 'symmetry_mean': '0.159', 'fractal_dimension_mean': '0.05907', 'radius_se': '0.1822', 'texture_se': '0.7285', 'perimeter_se': '1.171', 'area_se': '13.25', 'smoothness_se': '0.005528', 'compactness_se': '0.009789', 'concavity_se': '0.008342', 'concave points_se': '0.006273', 'symmetry_se': '0.01465', 'fractal_dimension_se': '0.00253', 'radius_worst': '13.14', 'texture_worst': '18.41', 'perimeter_worst': '84.08', 'area_worst': '532.8', 'smoothness_worst': '0.1275', 'compactness_worst': '0.1232', 'concavity_worst': '0.08636', 'concave points_worst': '0.07025', 'symmetry_worst': '0.2514', 'fractal_dimension_worst': '0.07898'}
{'id': '871149', 'diagnosis': 'B', 'radius_mean': '10.9', 'texture_mean': '12.96', 'perimeter_mean': '68.69', 'area_mean': '366.8', 'smoothness_mean': '0.07515', 'compactness_mean': '0.03718', 'concavity_mean': '0.00309', 'concave points_mean': '0.006588', 'symmetry_mean': '0.1442', 'fractal_dimension_mean': '0.05743', 'radius_se': '0.2818', 'texture_se': '0.7614', 'perimeter_se': '1.808', 'area_se': '18.54', 'smoothness_se': '0.006142', 'compactness_se': '0.006134', 'concavity_se': '0.001835', 'concave points_se': '0.003576', 'symmetry_se': '0.01637', 'fractal_dimension_se': '0.002665', 'radius_worst': '12.36', 'texture_worst': '18.2', 'perimeter_worst': '78.07', 'area_worst': '470', 'smoothness_worst': '0.1171', 'compactness_worst': '0.08294', 'concavity_worst': '0.01854', 'concave points_worst': '0.03953', 'symmetry_worst': '0.2738', 'fractal_dimension_worst': '0.07685'}
{'id': '8711561', 'diagnosis': 'B', 'radius_mean': '11.75', 'texture_mean': '20.18', 'perimeter_mean': '76.1', 'area_mean': '419.8', 'smoothness_mean': '0.1089', 'compactness_mean': '0.1141', 'concavity_mean': '0.06843', 'concave points_mean': '0.03738', 'symmetry_mean': '0.1993', 'fractal_dimension_mean': '0.06453', 'radius_se': '0.5018', 'texture_se': '1.693', 'perimeter_se': '3.926', 'area_se': '38.34', 'smoothness_se': '0.009433', 'compactness_se': '0.02405', 'concavity_se': '0.04167', 'concave points_se': '0.01152', 'symmetry_se': '0.03397', 'fractal_dimension_se': '0.005061', 'radius_worst': '13.32', 'texture_worst': '26.21', 'perimeter_worst': '88.91', 'area_worst': '543.9', 'smoothness_worst': '0.1358', 'compactness_worst': '0.1892', 'concavity_worst': '0.1956', 'concave points_worst': '0.07909', 'symmetry_worst': '0.3168', 'fractal_dimension_worst': '0.07987'}
{'id': '8711803', 'diagnosis': 'M', 'radius_mean': '19.19', 'texture_mean': '15.94', 'perimeter_mean': '126.3', 'area_mean': '1157', 'smoothness_mean': '0.08694', 'compactness_mean': '0.1185', 'concavity_mean': '0.1193', 'concave points_mean': '0.09667', 'symmetry_mean': '0.1741', 'fractal_dimension_mean': '0.05176', 'radius_se': '1', 'texture_se': '0.6336', 'perimeter_se': '6.971', 'area_se': '119.3', 'smoothness_se': '0.009406', 'compactness_se': '0.03055', 'concavity_se': '0.04344', 'concave points_se': '0.02794', 'symmetry_se': '0.03156', 'fractal_dimension_se': '0.003362', 'radius_worst': '22.03', 'texture_worst': '17.81', 'perimeter_worst': '146.6', 'area_worst': '1495', 'smoothness_worst': '0.1124', 'compactness_worst': '0.2016', 'concavity_worst': '0.2264', 'concave points_worst': '0.1777', 'symmetry_worst': '0.2443', 'fractal_dimension_worst': '0.06251'}
{'id': '871201', 'diagnosis': 'M', 'radius_mean': '19.59', 'texture_mean': '18.15', 'perimeter_mean': '130.7', 'area_mean': '1214', 'smoothness_mean': '0.112', 'compactness_mean': '0.1666', 'concavity_mean': '0.2508', 'concave points_mean': '0.1286', 'symmetry_mean': '0.2027', 'fractal_dimension_mean': '0.06082', 'radius_se': '0.7364', 'texture_se': '1.048', 'perimeter_se': '4.792', 'area_se': '97.07', 'smoothness_se': '0.004057', 'compactness_se': '0.02277', 'concavity_se': '0.04029', 'concave points_se': '0.01303', 'symmetry_se': '0.01686', 'fractal_dimension_se': '0.003318', 'radius_worst': '26.73', 'texture_worst': '26.39', 'perimeter_worst': '174.9', 'area_worst': '2232', 'smoothness_worst': '0.1438', 'compactness_worst': '0.3846', 'concavity_worst': '0.681', 'concave points_worst': '0.2247', 'symmetry_worst': '0.3643', 'fractal_dimension_worst': '0.09223'}
{'id': '8712064', 'diagnosis': 'B', 'radius_mean': '12.34', 'texture_mean': '22.22', 'perimeter_mean': '79.85', 'area_mean': '464.5', 'smoothness_mean': '0.1012', 'compactness_mean': '0.1015', 'concavity_mean': '0.0537', 'concave points_mean': '0.02822', 'symmetry_mean': '0.1551', 'fractal_dimension_mean': '0.06761', 'radius_se': '0.2949', 'texture_se': '1.656', 'perimeter_se': '1.955', 'area_se': '21.55', 'smoothness_se': '0.01134', 'compactness_se': '0.03175', 'concavity_se': '0.03125', 'concave points_se': '0.01135', 'symmetry_se': '0.01879', 'fractal_dimension_se': '0.005348', 'radius_worst': '13.58', 'texture_worst': '28.68', 'perimeter_worst': '87.36', 'area_worst': '553', 'smoothness_worst': '0.1452', 'compactness_worst': '0.2338', 'concavity_worst': '0.1688', 'concave points_worst': '0.08194', 'symmetry_worst': '0.2268', 'fractal_dimension_worst': '0.09082'}
{'id': '8712289', 'diagnosis': 'M', 'radius_mean': '23.27', 'texture_mean': '22.04', 'perimeter_mean': '152.1', 'area_mean': '1686', 'smoothness_mean': '0.08439', 'compactness_mean': '0.1145', 'concavity_mean': '0.1324', 'concave points_mean': '0.09702', 'symmetry_mean': '0.1801', 'fractal_dimension_mean': '0.05553', 'radius_se': '0.6642', 'texture_se': '0.8561', 'perimeter_se': '4.603', 'area_se': '97.85', 'smoothness_se': '0.00491', 'compactness_se': '0.02544', 'concavity_se': '0.02822', 'concave points_se': '0.01623', 'symmetry_se': '0.01956', 'fractal_dimension_se': '0.00374', 'radius_worst': '28.01', 'texture_worst': '28.22', 'perimeter_worst': '184.2', 'area_worst': '2403', 'smoothness_worst': '0.1228', 'compactness_worst': '0.3583', 'concavity_worst': '0.3948', 'concave points_worst': '0.2346', 'symmetry_worst': '0.3589', 'fractal_dimension_worst': '0.09187'}
{'id': '8712291', 'diagnosis': 'B', 'radius_mean': '14.97', 'texture_mean': '19.76', 'perimeter_mean': '95.5', 'area_mean': '690.2', 'smoothness_mean': '0.08421', 'compactness_mean': '0.05352', 'concavity_mean': '0.01947', 'concave points_mean': '0.01939', 'symmetry_mean': '0.1515', 'fractal_dimension_mean': '0.05266', 'radius_se': '0.184', 'texture_se': '1.065', 'perimeter_se': '1.286', 'area_se': '16.64', 'smoothness_se': '0.003634', 'compactness_se': '0.007983', 'concavity_se': '0.008268', 'concave points_se': '0.006432', 'symmetry_se': '0.01924', 'fractal_dimension_se': '0.00152', 'radius_worst': '15.98', 'texture_worst': '25.82', 'perimeter_worst': '102.3', 'area_worst': '782.1', 'smoothness_worst': '0.1045', 'compactness_worst': '0.09995', 'concavity_worst': '0.0775', 'concave points_worst': '0.05754', 'symmetry_worst': '0.2646', 'fractal_dimension_worst': '0.06085'}
{'id': '87127', 'diagnosis': 'B', 'radius_mean': '10.8', 'texture_mean': '9.71', 'perimeter_mean': '68.77', 'area_mean': '357.6', 'smoothness_mean': '0.09594', 'compactness_mean': '0.05736', 'concavity_mean': '0.02531', 'concave points_mean': '0.01698', 'symmetry_mean': '0.1381', 'fractal_dimension_mean': '0.064', 'radius_se': '0.1728', 'texture_se': '0.4064', 'perimeter_se': '1.126', 'area_se': '11.48', 'smoothness_se': '0.007809', 'compactness_se': '0.009816', 'concavity_se': '0.01099', 'concave points_se': '0.005344', 'symmetry_se': '0.01254', 'fractal_dimension_se': '0.00212', 'radius_worst': '11.6', 'texture_worst': '12.02', 'perimeter_worst': '73.66', 'area_worst': '414', 'smoothness_worst': '0.1436', 'compactness_worst': '0.1257', 'concavity_worst': '0.1047', 'concave points_worst': '0.04603', 'symmetry_worst': '0.209', 'fractal_dimension_worst': '0.07699'}
{'id': '8712729', 'diagnosis': 'M', 'radius_mean': '16.78', 'texture_mean': '18.8', 'perimeter_mean': '109.3', 'area_mean': '886.3', 'smoothness_mean': '0.08865', 'compactness_mean': '0.09182', 'concavity_mean': '0.08422', 'concave points_mean': '0.06576', 'symmetry_mean': '0.1893', 'fractal_dimension_mean': '0.05534', 'radius_se': '0.599', 'texture_se': '1.391', 'perimeter_se': '4.129', 'area_se': '67.34', 'smoothness_se': '0.006123', 'compactness_se': '0.0247', 'concavity_se': '0.02626', 'concave points_se': '0.01604', 'symmetry_se': '0.02091', 'fractal_dimension_se': '0.003493', 'radius_worst': '20.05', 'texture_worst': '26.3', 'perimeter_worst': '130.7', 'area_worst': '1260', 'smoothness_worst': '0.1168', 'compactness_worst': '0.2119', 'concavity_worst': '0.2318', 'concave points_worst': '0.1474', 'symmetry_worst': '0.281', 'fractal_dimension_worst': '0.07228'}
{'id': '8712766', 'diagnosis': 'M', 'radius_mean': '17.47', 'texture_mean': '24.68', 'perimeter_mean': '116.1', 'area_mean': '984.6', 'smoothness_mean': '0.1049', 'compactness_mean': '0.1603', 'concavity_mean': '0.2159', 'concave points_mean': '0.1043', 'symmetry_mean': '0.1538', 'fractal_dimension_mean': '0.06365', 'radius_se': '1.088', 'texture_se': '1.41', 'perimeter_se': '7.337', 'area_se': '122.3', 'smoothness_se': '0.006174', 'compactness_se': '0.03634', 'concavity_se': '0.04644', 'concave points_se': '0.01569', 'symmetry_se': '0.01145', 'fractal_dimension_se': '0.00512', 'radius_worst': '23.14', 'texture_worst': '32.33', 'perimeter_worst': '155.3', 'area_worst': '1660', 'smoothness_worst': '0.1376', 'compactness_worst': '0.383', 'concavity_worst': '0.489', 'concave points_worst': '0.1721', 'symmetry_worst': '0.216', 'fractal_dimension_worst': '0.093'}
{'id': '8712853', 'diagnosis': 'B', 'radius_mean': '14.97', 'texture_mean': '16.95', 'perimeter_mean': '96.22', 'area_mean': '685.9', 'smoothness_mean': '0.09855', 'compactness_mean': '0.07885', 'concavity_mean': '0.02602', 'concave points_mean': '0.03781', 'symmetry_mean': '0.178', 'fractal_dimension_mean': '0.0565', 'radius_se': '0.2713', 'texture_se': '1.217', 'perimeter_se': '1.893', 'area_se': '24.28', 'smoothness_se': '0.00508', 'compactness_se': '0.0137', 'concavity_se': '0.007276', 'concave points_se': '0.009073', 'symmetry_se': '0.0135', 'fractal_dimension_se': '0.001706', 'radius_worst': '16.11', 'texture_worst': '23', 'perimeter_worst': '104.6', 'area_worst': '793.7', 'smoothness_worst': '0.1216', 'compactness_worst': '0.1637', 'concavity_worst': '0.06648', 'concave points_worst': '0.08485', 'symmetry_worst': '0.2404', 'fractal_dimension_worst': '0.06428'}
{'id': '87139402', 'diagnosis': 'B', 'radius_mean': '12.32', 'texture_mean': '12.39', 'perimeter_mean': '78.85', 'area_mean': '464.1', 'smoothness_mean': '0.1028', 'compactness_mean': '0.06981', 'concavity_mean': '0.03987', 'concave points_mean': '0.037', 'symmetry_mean': '0.1959', 'fractal_dimension_mean': '0.05955', 'radius_se': '0.236', 'texture_se': '0.6656', 'perimeter_se': '1.67', 'area_se': '17.43', 'smoothness_se': '0.008045', 'compactness_se': '0.0118', 'concavity_se': '0.01683', 'concave points_se': '0.01241', 'symmetry_se': '0.01924', 'fractal_dimension_se': '0.002248', 'radius_worst': '13.5', 'texture_worst': '15.64', 'perimeter_worst': '86.97', 'area_worst': '549.1', 'smoothness_worst': '0.1385', 'compactness_worst': '0.1266', 'concavity_worst': '0.1242', 'concave points_worst': '0.09391', 'symmetry_worst': '0.2827', 'fractal_dimension_worst': '0.06771'}
{'id': '87163', 'diagnosis': 'M', 'radius_mean': '13.43', 'texture_mean': '19.63', 'perimeter_mean': '85.84', 'area_mean': '565.4', 'smoothness_mean': '0.09048', 'compactness_mean': '0.06288', 'concavity_mean': '0.05858', 'concave points_mean': '0.03438', 'symmetry_mean': '0.1598', 'fractal_dimension_mean': '0.05671', 'radius_se': '0.4697', 'texture_se': '1.147', 'perimeter_se': '3.142', 'area_se': '43.4', 'smoothness_se': '0.006003', 'compactness_se': '0.01063', 'concavity_se': '0.02151', 'concave points_se': '0.009443', 'symmetry_se': '0.0152', 'fractal_dimension_se': '0.001868', 'radius_worst': '17.98', 'texture_worst': '29.87', 'perimeter_worst': '116.6', 'area_worst': '993.6', 'smoothness_worst': '0.1401', 'compactness_worst': '0.1546', 'concavity_worst': '0.2644', 'concave points_worst': '0.116', 'symmetry_worst': '0.2884', 'fractal_dimension_worst': '0.07371'}
{'id': '87164', 'diagnosis': 'M', 'radius_mean': '15.46', 'texture_mean': '11.89', 'perimeter_mean': '102.5', 'area_mean': '736.9', 'smoothness_mean': '0.1257', 'compactness_mean': '0.1555', 'concavity_mean': '0.2032', 'concave points_mean': '0.1097', 'symmetry_mean': '0.1966', 'fractal_dimension_mean': '0.07069', 'radius_se': '0.4209', 'texture_se': '0.6583', 'perimeter_se': '2.805', 'area_se': '44.64', 'smoothness_se': '0.005393', 'compactness_se': '0.02321', 'concavity_se': '0.04303', 'concave points_se': '0.0132', 'symmetry_se': '0.01792', 'fractal_dimension_se': '0.004168', 'radius_worst': '18.79', 'texture_worst': '17.04', 'perimeter_worst': '125', 'area_worst': '1102', 'smoothness_worst': '0.1531', 'compactness_worst': '0.3583', 'concavity_worst': '0.583', 'concave points_worst': '0.1827', 'symmetry_worst': '0.3216', 'fractal_dimension_worst': '0.101'}
{'id': '871641', 'diagnosis': 'B', 'radius_mean': '11.08', 'texture_mean': '14.71', 'perimeter_mean': '70.21', 'area_mean': '372.7', 'smoothness_mean': '0.1006', 'compactness_mean': '0.05743', 'concavity_mean': '0.02363', 'concave points_mean': '0.02583', 'symmetry_mean': '0.1566', 'fractal_dimension_mean': '0.06669', 'radius_se': '0.2073', 'texture_se': '1.805', 'perimeter_se': '1.377', 'area_se': '19.08', 'smoothness_se': '0.01496', 'compactness_se': '0.02121', 'concavity_se': '0.01453', 'concave points_se': '0.01583', 'symmetry_se': '0.03082', 'fractal_dimension_se': '0.004785', 'radius_worst': '11.35', 'texture_worst': '16.82', 'perimeter_worst': '72.01', 'area_worst': '396.5', 'smoothness_worst': '0.1216', 'compactness_worst': '0.0824', 'concavity_worst': '0.03938', 'concave points_worst': '0.04306', 'symmetry_worst': '0.1902', 'fractal_dimension_worst': '0.07313'}
{'id': '871642', 'diagnosis': 'B', 'radius_mean': '10.66', 'texture_mean': '15.15', 'perimeter_mean': '67.49', 'area_mean': '349.6', 'smoothness_mean': '0.08792', 'compactness_mean': '0.04302', 'concavity_mean': '0', 'concave points_mean': '0', 'symmetry_mean': '0.1928', 'fractal_dimension_mean': '0.05975', 'radius_se': '0.3309', 'texture_se': '1.925', 'perimeter_se': '2.155', 'area_se': '21.98', 'smoothness_se': '0.008713', 'compactness_se': '0.01017', 'concavity_se': '0', 'concave points_se': '0', 'symmetry_se': '0.03265', 'fractal_dimension_se': '0.001002', 'radius_worst': '11.54', 'texture_worst': '19.2', 'perimeter_worst': '73.2', 'area_worst': '408.3', 'smoothness_worst': '0.1076', 'compactness_worst': '0.06791', 'concavity_worst': '0', 'concave points_worst': '0', 'symmetry_worst': '0.271', 'fractal_dimension_worst': '0.06164'}
{'id': '872113', 'diagnosis': 'B', 'radius_mean': '8.671', 'texture_mean': '14.45', 'perimeter_mean': '54.42', 'area_mean': '227.2', 'smoothness_mean': '0.09138', 'compactness_mean': '0.04276', 'concavity_mean': '0', 'concave points_mean': '0', 'symmetry_mean': '0.1722', 'fractal_dimension_mean': '0.06724', 'radius_se': '0.2204', 'texture_se': '0.7873', 'perimeter_se': '1.435', 'area_se': '11.36', 'smoothness_se': '0.009172', 'compactness_se': '0.008007', 'concavity_se': '0', 'concave points_se': '0', 'symmetry_se': '0.02711', 'fractal_dimension_se': '0.003399', 'radius_worst': '9.262', 'texture_worst': '17.04', 'perimeter_worst': '58.36', 'area_worst': '259.2', 'smoothness_worst': '0.1162', 'compactness_worst': '0.07057', 'concavity_worst': '0', 'concave points_worst': '0', 'symmetry_worst': '0.2592', 'fractal_dimension_worst': '0.07848'}
{'id': '872608', 'diagnosis': 'B', 'radius_mean': '9.904', 'texture_mean': '18.06', 'perimeter_mean': '64.6', 'area_mean': '302.4', 'smoothness_mean': '0.09699', 'compactness_mean': '0.1294', 'concavity_mean': '0.1307', 'concave points_mean': '0.03716', 'symmetry_mean': '0.1669', 'fractal_dimension_mean': '0.08116', 'radius_se': '0.4311', 'texture_se': '2.261', 'perimeter_se': '3.132', 'area_se': '27.48', 'smoothness_se': '0.01286', 'compactness_se': '0.08808', 'concavity_se': '0.1197', 'concave points_se': '0.0246', 'symmetry_se': '0.0388', 'fractal_dimension_se': '0.01792', 'radius_worst': '11.26', 'texture_worst': '24.39', 'perimeter_worst': '73.07', 'area_worst': '390.2', 'smoothness_worst': '0.1301', 'compactness_worst': '0.295', 'concavity_worst': '0.3486', 'concave points_worst': '0.0991', 'symmetry_worst': '0.2614', 'fractal_dimension_worst': '0.1162'}
{'id': '87281702', 'diagnosis': 'M', 'radius_mean': '16.46', 'texture_mean': '20.11', 'perimeter_mean': '109.3', 'area_mean': '832.9', 'smoothness_mean': '0.09831', 'compactness_mean': '0.1556', 'concavity_mean': '0.1793', 'concave points_mean': '0.08866', 'symmetry_mean': '0.1794', 'fractal_dimension_mean': '0.06323', 'radius_se': '0.3037', 'texture_se': '1.284', 'perimeter_se': '2.482', 'area_se': '31.59', 'smoothness_se': '0.006627', 'compactness_se': '0.04094', 'concavity_se': '0.05371', 'concave points_se': '0.01813', 'symmetry_se': '0.01682', 'fractal_dimension_se': '0.004584', 'radius_worst': '17.79', 'texture_worst': '28.45', 'perimeter_worst': '123.5', 'area_worst': '981.2', 'smoothness_worst': '0.1415', 'compactness_worst': '0.4667', 'concavity_worst': '0.5862', 'concave points_worst': '0.2035', 'symmetry_worst': '0.3054', 'fractal_dimension_worst': '0.09519'}
{'id': '873357', 'diagnosis': 'B', 'radius_mean': '13.01', 'texture_mean': '22.22', 'perimeter_mean': '82.01', 'area_mean': '526.4', 'smoothness_mean': '0.06251', 'compactness_mean': '0.01938', 'concavity_mean': '0.001595', 'concave points_mean': '0.001852', 'symmetry_mean': '0.1395', 'fractal_dimension_mean': '0.05234', 'radius_se': '0.1731', 'texture_se': '1.142', 'perimeter_se': '1.101', 'area_se': '14.34', 'smoothness_se': '0.003418', 'compactness_se': '0.002252', 'concavity_se': '0.001595', 'concave points_se': '0.001852', 'symmetry_se': '0.01613', 'fractal_dimension_se': '0.0009683', 'radius_worst': '14', 'texture_worst': '29.02', 'perimeter_worst': '88.18', 'area_worst': '608.8', 'smoothness_worst': '0.08125', 'compactness_worst': '0.03432', 'concavity_worst': '0.007977', 'concave points_worst': '0.009259', 'symmetry_worst': '0.2295', 'fractal_dimension_worst': '0.05843'}
{'id': '873586', 'diagnosis': 'B', 'radius_mean': '12.81', 'texture_mean': '13.06', 'perimeter_mean': '81.29', 'area_mean': '508.8', 'smoothness_mean': '0.08739', 'compactness_mean': '0.03774', 'concavity_mean': '0.009193', 'concave points_mean': '0.0133', 'symmetry_mean': '0.1466', 'fractal_dimension_mean': '0.06133', 'radius_se': '0.2889', 'texture_se': '0.9899', 'perimeter_se': '1.778', 'area_se': '21.79', 'smoothness_se': '0.008534', 'compactness_se': '0.006364', 'concavity_se': '0.00618', 'concave points_se': '0.007408', 'symmetry_se': '0.01065', 'fractal_dimension_se': '0.003351', 'radius_worst': '13.63', 'texture_worst': '16.15', 'perimeter_worst': '86.7', 'area_worst': '570.7', 'smoothness_worst': '0.1162', 'compactness_worst': '0.05445', 'concavity_worst': '0.02758', 'concave points_worst': '0.0399', 'symmetry_worst': '0.1783', 'fractal_dimension_worst': '0.07319'}
{'id': '873592', 'diagnosis': 'M', 'radius_mean': '27.22', 'texture_mean': '21.87', 'perimeter_mean': '182.1', 'area_mean': '2250', 'smoothness_mean': '0.1094', 'compactness_mean': '0.1914', 'concavity_mean': '0.2871', 'concave points_mean': '0.1878', 'symmetry_mean': '0.18', 'fractal_dimension_mean': '0.0577', 'radius_se': '0.8361', 'texture_se': '1.481', 'perimeter_se': '5.82', 'area_se': '128.7', 'smoothness_se': '0.004631', 'compactness_se': '0.02537', 'concavity_se': '0.03109', 'concave points_se': '0.01241', 'symmetry_se': '0.01575', 'fractal_dimension_se': '0.002747', 'radius_worst': '33.12', 'texture_worst': '32.85', 'perimeter_worst': '220.8', 'area_worst': '3216', 'smoothness_worst': '0.1472', 'compactness_worst': '0.4034', 'concavity_worst': '0.534', 'concave points_worst': '0.2688', 'symmetry_worst': '0.2856', 'fractal_dimension_worst': '0.08082'}
{'id': '873593', 'diagnosis': 'M', 'radius_mean': '21.09', 'texture_mean': '26.57', 'perimeter_mean': '142.7', 'area_mean': '1311', 'smoothness_mean': '0.1141', 'compactness_mean': '0.2832', 'concavity_mean': '0.2487', 'concave points_mean': '0.1496', 'symmetry_mean': '0.2395', 'fractal_dimension_mean': '0.07398', 'radius_se': '0.6298', 'texture_se': '0.7629', 'perimeter_se': '4.414', 'area_se': '81.46', 'smoothness_se': '0.004253', 'compactness_se': '0.04759', 'concavity_se': '0.03872', 'concave points_se': '0.01567', 'symmetry_se': '0.01798', 'fractal_dimension_se': '0.005295', 'radius_worst': '26.68', 'texture_worst': '33.48', 'perimeter_worst': '176.5', 'area_worst': '2089', 'smoothness_worst': '0.1491', 'compactness_worst': '0.7584', 'concavity_worst': '0.678', 'concave points_worst': '0.2903', 'symmetry_worst': '0.4098', 'fractal_dimension_worst': '0.1284'}
{'id': '873701', 'diagnosis': 'M', 'radius_mean': '15.7', 'texture_mean': '20.31', 'perimeter_mean': '101.2', 'area_mean': '766.6', 'smoothness_mean': '0.09597', 'compactness_mean': '0.08799', 'concavity_mean': '0.06593', 'concave points_mean': '0.05189', 'symmetry_mean': '0.1618', 'fractal_dimension_mean': '0.05549', 'radius_se': '0.3699', 'texture_se': '1.15', 'perimeter_se': '2.406', 'area_se': '40.98', 'smoothness_se': '0.004626', 'compactness_se': '0.02263', 'concavity_se': '0.01954', 'concave points_se': '0.009767', 'symmetry_se': '0.01547', 'fractal_dimension_se': '0.00243', 'radius_worst': '20.11', 'texture_worst': '32.82', 'perimeter_worst': '129.3', 'area_worst': '1269', 'smoothness_worst': '0.1414', 'compactness_worst': '0.3547', 'concavity_worst': '0.2902', 'concave points_worst': '0.1541', 'symmetry_worst': '0.3437', 'fractal_dimension_worst': '0.08631'}
{'id': '873843', 'diagnosis': 'B', 'radius_mean': '11.41', 'texture_mean': '14.92', 'perimeter_mean': '73.53', 'area_mean': '402', 'smoothness_mean': '0.09059', 'compactness_mean': '0.08155', 'concavity_mean': '0.06181', 'concave points_mean': '0.02361', 'symmetry_mean': '0.1167', 'fractal_dimension_mean': '0.06217', 'radius_se': '0.3344', 'texture_se': '1.108', 'perimeter_se': '1.902', 'area_se': '22.77', 'smoothness_se': '0.007356', 'compactness_se': '0.03728', 'concavity_se': '0.05915', 'concave points_se': '0.01712', 'symmetry_se': '0.02165', 'fractal_dimension_se': '0.004784', 'radius_worst': '12.37', 'texture_worst': '17.7', 'perimeter_worst': '79.12', 'area_worst': '467.2', 'smoothness_worst': '0.1121', 'compactness_worst': '0.161', 'concavity_worst': '0.1648', 'concave points_worst': '0.06296', 'symmetry_worst': '0.1811', 'fractal_dimension_worst': '0.07427'}
{'id': '873885', 'diagnosis': 'M', 'radius_mean': '15.28', 'texture_mean': '22.41', 'perimeter_mean': '98.92', 'area_mean': '710.6', 'smoothness_mean': '0.09057', 'compactness_mean': '0.1052', 'concavity_mean': '0.05375', 'concave points_mean': '0.03263', 'symmetry_mean': '0.1727', 'fractal_dimension_mean': '0.06317', 'radius_se': '0.2054', 'texture_se': '0.4956', 'perimeter_se': '1.344', 'area_se': '19.53', 'smoothness_se': '0.00329', 'compactness_se': '0.01395', 'concavity_se': '0.01774', 'concave points_se': '0.006009', 'symmetry_se': '0.01172', 'fractal_dimension_se': '0.002575', 'radius_worst': '17.8', 'texture_worst': '28.03', 'perimeter_worst': '113.8', 'area_worst': '973.1', 'smoothness_worst': '0.1301', 'compactness_worst': '0.3299', 'concavity_worst': '0.363', 'concave points_worst': '0.1226', 'symmetry_worst': '0.3175', 'fractal_dimension_worst': '0.09772'}
{'id': '874158', 'diagnosis': 'B', 'radius_mean': '10.08', 'texture_mean': '15.11', 'perimeter_mean': '63.76', 'area_mean': '317.5', 'smoothness_mean': '0.09267', 'compactness_mean': '0.04695', 'concavity_mean': '0.001597', 'concave points_mean': '0.002404', 'symmetry_mean': '0.1703', 'fractal_dimension_mean': '0.06048', 'radius_se': '0.4245', 'texture_se': '1.268', 'perimeter_se': '2.68', 'area_se': '26.43', 'smoothness_se': '0.01439', 'compactness_se': '0.012', 'concavity_se': '0.001597', 'concave points_se': '0.002404', 'symmetry_se': '0.02538', 'fractal_dimension_se': '0.00347', 'radius_worst': '11.87', 'texture_worst': '21.18', 'perimeter_worst': '75.39', 'area_worst': '437', 'smoothness_worst': '0.1521', 'compactness_worst': '0.1019', 'concavity_worst': '0.00692', 'concave points_worst': '0.01042', 'symmetry_worst': '0.2933', 'fractal_dimension_worst': '0.07697'}
{'id': '874217', 'diagnosis': 'M', 'radius_mean': '18.31', 'texture_mean': '18.58', 'perimeter_mean': '118.6', 'area_mean': '1041', 'smoothness_mean': '0.08588', 'compactness_mean': '0.08468', 'concavity_mean': '0.08169', 'concave points_mean': '0.05814', 'symmetry_mean': '0.1621', 'fractal_dimension_mean': '0.05425', 'radius_se': '0.2577', 'texture_se': '0.4757', 'perimeter_se': '1.817', 'area_se': '28.92', 'smoothness_se': '0.002866', 'compactness_se': '0.009181', 'concavity_se': '0.01412', 'concave points_se': '0.006719', 'symmetry_se': '0.01069', 'fractal_dimension_se': '0.001087', 'radius_worst': '21.31', 'texture_worst': '26.36', 'perimeter_worst': '139.2', 'area_worst': '1410', 'smoothness_worst': '0.1234', 'compactness_worst': '0.2445', 'concavity_worst': '0.3538', 'concave points_worst': '0.1571', 'symmetry_worst': '0.3206', 'fractal_dimension_worst': '0.06938'}
{'id': '874373', 'diagnosis': 'B', 'radius_mean': '11.71', 'texture_mean': '17.19', 'perimeter_mean': '74.68', 'area_mean': '420.3', 'smoothness_mean': '0.09774', 'compactness_mean': '0.06141', 'concavity_mean': '0.03809', 'concave points_mean': '0.03239', 'symmetry_mean': '0.1516', 'fractal_dimension_mean': '0.06095', 'radius_se': '0.2451', 'texture_se': '0.7655', 'perimeter_se': '1.742', 'area_se': '17.86', 'smoothness_se': '0.006905', 'compactness_se': '0.008704', 'concavity_se': '0.01978', 'concave points_se': '0.01185', 'symmetry_se': '0.01897', 'fractal_dimension_se': '0.001671', 'radius_worst': '13.01', 'texture_worst': '21.39', 'perimeter_worst': '84.42', 'area_worst': '521.5', 'smoothness_worst': '0.1323', 'compactness_worst': '0.104', 'concavity_worst': '0.1521', 'concave points_worst': '0.1099', 'symmetry_worst': '0.2572', 'fractal_dimension_worst': '0.07097'}
{'id': '874662', 'diagnosis': 'B', 'radius_mean': '11.81', 'texture_mean': '17.39', 'perimeter_mean': '75.27', 'area_mean': '428.9', 'smoothness_mean': '0.1007', 'compactness_mean': '0.05562', 'concavity_mean': '0.02353', 'concave points_mean': '0.01553', 'symmetry_mean': '0.1718', 'fractal_dimension_mean': '0.0578', 'radius_se': '0.1859', 'texture_se': '1.926', 'perimeter_se': '1.011', 'area_se': '14.47', 'smoothness_se': '0.007831', 'compactness_se': '0.008776', 'concavity_se': '0.01556', 'concave points_se': '0.00624', 'symmetry_se': '0.03139', 'fractal_dimension_se': '0.001988', 'radius_worst': '12.57', 'texture_worst': '26.48', 'perimeter_worst': '79.57', 'area_worst': '489.5', 'smoothness_worst': '0.1356', 'compactness_worst': '0.1', 'concavity_worst': '0.08803', 'concave points_worst': '0.04306', 'symmetry_worst': '0.32', 'fractal_dimension_worst': '0.06576'}
{'id': '874839', 'diagnosis': 'B', 'radius_mean': '12.3', 'texture_mean': '15.9', 'perimeter_mean': '78.83', 'area_mean': '463.7', 'smoothness_mean': '0.0808', 'compactness_mean': '0.07253', 'concavity_mean': '0.03844', 'concave points_mean': '0.01654', 'symmetry_mean': '0.1667', 'fractal_dimension_mean': '0.05474', 'radius_se': '0.2382', 'texture_se': '0.8355', 'perimeter_se': '1.687', 'area_se': '18.32', 'smoothness_se': '0.005996', 'compactness_se': '0.02212', 'concavity_se': '0.02117', 'concave points_se': '0.006433', 'symmetry_se': '0.02025', 'fractal_dimension_se': '0.001725', 'radius_worst': '13.35', 'texture_worst': '19.59', 'perimeter_worst': '86.65', 'area_worst': '546.7', 'smoothness_worst': '0.1096', 'compactness_worst': '0.165', 'concavity_worst': '0.1423', 'concave points_worst': '0.04815', 'symmetry_worst': '0.2482', 'fractal_dimension_worst': '0.06306'}
{'id': '874858', 'diagnosis': 'M', 'radius_mean': '14.22', 'texture_mean': '23.12', 'perimeter_mean': '94.37', 'area_mean': '609.9', 'smoothness_mean': '0.1075', 'compactness_mean': '0.2413', 'concavity_mean': '0.1981', 'concave points_mean': '0.06618', 'symmetry_mean': '0.2384', 'fractal_dimension_mean': '0.07542', 'radius_se': '0.286', 'texture_se': '2.11', 'perimeter_se': '2.112', 'area_se': '31.72', 'smoothness_se': '0.00797', 'compactness_se': '0.1354', 'concavity_se': '0.1166', 'concave points_se': '0.01666', 'symmetry_se': '0.05113', 'fractal_dimension_se': '0.01172', 'radius_worst': '15.74', 'texture_worst': '37.18', 'perimeter_worst': '106.4', 'area_worst': '762.4', 'smoothness_worst': '0.1533', 'compactness_worst': '0.9327', 'concavity_worst': '0.8488', 'concave points_worst': '0.1772', 'symmetry_worst': '0.5166', 'fractal_dimension_worst': '0.1446'}
{'id': '875093', 'diagnosis': 'B', 'radius_mean': '12.77', 'texture_mean': '21.41', 'perimeter_mean': '82.02', 'area_mean': '507.4', 'smoothness_mean': '0.08749', 'compactness_mean': '0.06601', 'concavity_mean': '0.03112', 'concave points_mean': '0.02864', 'symmetry_mean': '0.1694', 'fractal_dimension_mean': '0.06287', 'radius_se': '0.7311', 'texture_se': '1.748', 'perimeter_se': '5.118', 'area_se': '53.65', 'smoothness_se': '0.004571', 'compactness_se': '0.0179', 'concavity_se': '0.02176', 'concave points_se': '0.01757', 'symmetry_se': '0.03373', 'fractal_dimension_se': '0.005875', 'radius_worst': '13.75', 'texture_worst': '23.5', 'perimeter_worst': '89.04', 'area_worst': '579.5', 'smoothness_worst': '0.09388', 'compactness_worst': '0.08978', 'concavity_worst': '0.05186', 'concave points_worst': '0.04773', 'symmetry_worst': '0.2179', 'fractal_dimension_worst': '0.06871'}
{'id': '875099', 'diagnosis': 'B', 'radius_mean': '9.72', 'texture_mean': '18.22', 'perimeter_mean': '60.73', 'area_mean': '288.1', 'smoothness_mean': '0.0695', 'compactness_mean': '0.02344', 'concavity_mean': '0', 'concave points_mean': '0', 'symmetry_mean': '0.1653', 'fractal_dimension_mean': '0.06447', 'radius_se': '0.3539', 'texture_se': '4.885', 'perimeter_se': '2.23', 'area_se': '21.69', 'smoothness_se': '0.001713', 'compactness_se': '0.006736', 'concavity_se': '0', 'concave points_se': '0', 'symmetry_se': '0.03799', 'fractal_dimension_se': '0.001688', 'radius_worst': '9.968', 'texture_worst': '20.83', 'perimeter_worst': '62.25', 'area_worst': '303.8', 'smoothness_worst': '0.07117', 'compactness_worst': '0.02729', 'concavity_worst': '0', 'concave points_worst': '0', 'symmetry_worst': '0.1909', 'fractal_dimension_worst': '0.06559'}
{'id': '875263', 'diagnosis': 'M', 'radius_mean': '12.34', 'texture_mean': '26.86', 'perimeter_mean': '81.15', 'area_mean': '477.4', 'smoothness_mean': '0.1034', 'compactness_mean': '0.1353', 'concavity_mean': '0.1085', 'concave points_mean': '0.04562', 'symmetry_mean': '0.1943', 'fractal_dimension_mean': '0.06937', 'radius_se': '0.4053', 'texture_se': '1.809', 'perimeter_se': '2.642', 'area_se': '34.44', 'smoothness_se': '0.009098', 'compactness_se': '0.03845', 'concavity_se': '0.03763', 'concave points_se': '0.01321', 'symmetry_se': '0.01878', 'fractal_dimension_se': '0.005672', 'radius_worst': '15.65', 'texture_worst': '39.34', 'perimeter_worst': '101.7', 'area_worst': '768.9', 'smoothness_worst': '0.1785', 'compactness_worst': '0.4706', 'concavity_worst': '0.4425', 'concave points_worst': '0.1459', 'symmetry_worst': '0.3215', 'fractal_dimension_worst': '0.1205'}
{'id': '87556202', 'diagnosis': 'M', 'radius_mean': '14.86', 'texture_mean': '23.21', 'perimeter_mean': '100.4', 'area_mean': '671.4', 'smoothness_mean': '0.1044', 'compactness_mean': '0.198', 'concavity_mean': '0.1697', 'concave points_mean': '0.08878', 'symmetry_mean': '0.1737', 'fractal_dimension_mean': '0.06672', 'radius_se': '0.2796', 'texture_se': '0.9622', 'perimeter_se': '3.591', 'area_se': '25.2', 'smoothness_se': '0.008081', 'compactness_se': '0.05122', 'concavity_se': '0.05551', 'concave points_se': '0.01883', 'symmetry_se': '0.02545', 'fractal_dimension_se': '0.004312', 'radius_worst': '16.08', 'texture_worst': '27.78', 'perimeter_worst': '118.6', 'area_worst': '784.7', 'smoothness_worst': '0.1316', 'compactness_worst': '0.4648', 'concavity_worst': '0.4589', 'concave points_worst': '0.1727', 'symmetry_worst': '0.3', 'fractal_dimension_worst': '0.08701'}
{'id': '875878', 'diagnosis': 'B', 'radius_mean': '12.91', 'texture_mean': '16.33', 'perimeter_mean': '82.53', 'area_mean': '516.4', 'smoothness_mean': '0.07941', 'compactness_mean': '0.05366', 'concavity_mean': '0.03873', 'concave points_mean': '0.02377', 'symmetry_mean': '0.1829', 'fractal_dimension_mean': '0.05667', 'radius_se': '0.1942', 'texture_se': '0.9086', 'perimeter_se': '1.493', 'area_se': '15.75', 'smoothness_se': '0.005298', 'compactness_se': '0.01587', 'concavity_se': '0.02321', 'concave points_se': '0.00842', 'symmetry_se': '0.01853', 'fractal_dimension_se': '0.002152', 'radius_worst': '13.88', 'texture_worst': '22', 'perimeter_worst': '90.81', 'area_worst': '600.6', 'smoothness_worst': '0.1097', 'compactness_worst': '0.1506', 'concavity_worst': '0.1764', 'concave points_worst': '0.08235', 'symmetry_worst': '0.3024', 'fractal_dimension_worst': '0.06949'}
{'id': '875938', 'diagnosis': 'M', 'radius_mean': '13.77', 'texture_mean': '22.29', 'perimeter_mean': '90.63', 'area_mean': '588.9', 'smoothness_mean': '0.12', 'compactness_mean': '0.1267', 'concavity_mean': '0.1385', 'concave points_mean': '0.06526', 'symmetry_mean': '0.1834', 'fractal_dimension_mean': '0.06877', 'radius_se': '0.6191', 'texture_se': '2.112', 'perimeter_se': '4.906', 'area_se': '49.7', 'smoothness_se': '0.0138', 'compactness_se': '0.03348', 'concavity_se': '0.04665', 'concave points_se': '0.0206', 'symmetry_se': '0.02689', 'fractal_dimension_se': '0.004306', 'radius_worst': '16.39', 'texture_worst': '34.01', 'perimeter_worst': '111.6', 'area_worst': '806.9', 'smoothness_worst': '0.1737', 'compactness_worst': '0.3122', 'concavity_worst': '0.3809', 'concave points_worst': '0.1673', 'symmetry_worst': '0.308', 'fractal_dimension_worst': '0.09333'}
{'id': '877159', 'diagnosis': 'M', 'radius_mean': '18.08', 'texture_mean': '21.84', 'perimeter_mean': '117.4', 'area_mean': '1024', 'smoothness_mean': '0.07371', 'compactness_mean': '0.08642', 'concavity_mean': '0.1103', 'concave points_mean': '0.05778', 'symmetry_mean': '0.177', 'fractal_dimension_mean': '0.0534', 'radius_se': '0.6362', 'texture_se': '1.305', 'perimeter_se': '4.312', 'area_se': '76.36', 'smoothness_se': '0.00553', 'compactness_se': '0.05296', 'concavity_se': '0.0611', 'concave points_se': '0.01444', 'symmetry_se': '0.0214', 'fractal_dimension_se': '0.005036', 'radius_worst': '19.76', 'texture_worst': '24.7', 'perimeter_worst': '129.1', 'area_worst': '1228', 'smoothness_worst': '0.08822', 'compactness_worst': '0.1963', 'concavity_worst': '0.2535', 'concave points_worst': '0.09181', 'symmetry_worst': '0.2369', 'fractal_dimension_worst': '0.06558'}
{'id': '877486', 'diagnosis': 'M', 'radius_mean': '19.18', 'texture_mean': '22.49', 'perimeter_mean': '127.5', 'area_mean': '1148', 'smoothness_mean': '0.08523', 'compactness_mean': '0.1428', 'concavity_mean': '0.1114', 'concave points_mean': '0.06772', 'symmetry_mean': '0.1767', 'fractal_dimension_mean': '0.05529', 'radius_se': '0.4357', 'texture_se': '1.073', 'perimeter_se': '3.833', 'area_se': '54.22', 'smoothness_se': '0.005524', 'compactness_se': '0.03698', 'concavity_se': '0.02706', 'concave points_se': '0.01221', 'symmetry_se': '0.01415', 'fractal_dimension_se': '0.003397', 'radius_worst': '23.36', 'texture_worst': '32.06', 'perimeter_worst': '166.4', 'area_worst': '1688', 'smoothness_worst': '0.1322', 'compactness_worst': '0.5601', 'concavity_worst': '0.3865', 'concave points_worst': '0.1708', 'symmetry_worst': '0.3193', 'fractal_dimension_worst': '0.09221'}
{'id': '877500', 'diagnosis': 'M', 'radius_mean': '14.45', 'texture_mean': '20.22', 'perimeter_mean': '94.49', 'area_mean': '642.7', 'smoothness_mean': '0.09872', 'compactness_mean': '0.1206', 'concavity_mean': '0.118', 'concave points_mean': '0.0598', 'symmetry_mean': '0.195', 'fractal_dimension_mean': '0.06466', 'radius_se': '0.2092', 'texture_se': '0.6509', 'perimeter_se': '1.446', 'area_se': '19.42', 'smoothness_se': '0.004044', 'compactness_se': '0.01597', 'concavity_se': '0.02', 'concave points_se': '0.007303', 'symmetry_se': '0.01522', 'fractal_dimension_se': '0.001976', 'radius_worst': '18.33', 'texture_worst': '30.12', 'perimeter_worst': '117.9', 'area_worst': '1044', 'smoothness_worst': '0.1552', 'compactness_worst': '0.4056', 'concavity_worst': '0.4967', 'concave points_worst': '0.1838', 'symmetry_worst': '0.4753', 'fractal_dimension_worst': '0.1013'}
{'id': '877501', 'diagnosis': 'B', 'radius_mean': '12.23', 'texture_mean': '19.56', 'perimeter_mean': '78.54', 'area_mean': '461', 'smoothness_mean': '0.09586', 'compactness_mean': '0.08087', 'concavity_mean': '0.04187', 'concave points_mean': '0.04107', 'symmetry_mean': '0.1979', 'fractal_dimension_mean': '0.06013', 'radius_se': '0.3534', 'texture_se': '1.326', 'perimeter_se': '2.308', 'area_se': '27.24', 'smoothness_se': '0.007514', 'compactness_se': '0.01779', 'concavity_se': '0.01401', 'concave points_se': '0.0114', 'symmetry_se': '0.01503', 'fractal_dimension_se': '0.003338', 'radius_worst': '14.44', 'texture_worst': '28.36', 'perimeter_worst': '92.15', 'area_worst': '638.4', 'smoothness_worst': '0.1429', 'compactness_worst': '0.2042', 'concavity_worst': '0.1377', 'concave points_worst': '0.108', 'symmetry_worst': '0.2668', 'fractal_dimension_worst': '0.08174'}
{'id': '877989', 'diagnosis': 'M', 'radius_mean': '17.54', 'texture_mean': '19.32', 'perimeter_mean': '115.1', 'area_mean': '951.6', 'smoothness_mean': '0.08968', 'compactness_mean': '0.1198', 'concavity_mean': '0.1036', 'concave points_mean': '0.07488', 'symmetry_mean': '0.1506', 'fractal_dimension_mean': '0.05491', 'radius_se': '0.3971', 'texture_se': '0.8282', 'perimeter_se': '3.088', 'area_se': '40.73', 'smoothness_se': '0.00609', 'compactness_se': '0.02569', 'concavity_se': '0.02713', 'concave points_se': '0.01345', 'symmetry_se': '0.01594', 'fractal_dimension_se': '0.002658', 'radius_worst': '20.42', 'texture_worst': '25.84', 'perimeter_worst': '139.5', 'area_worst': '1239', 'smoothness_worst': '0.1381', 'compactness_worst': '0.342', 'concavity_worst': '0.3508', 'concave points_worst': '0.1939', 'symmetry_worst': '0.2928', 'fractal_dimension_worst': '0.07867'}
{'id': '878796', 'diagnosis': 'M', 'radius_mean': '23.29', 'texture_mean': '26.67', 'perimeter_mean': '158.9', 'area_mean': '1685', 'smoothness_mean': '0.1141', 'compactness_mean': '0.2084', 'concavity_mean': '0.3523', 'concave points_mean': '0.162', 'symmetry_mean': '0.22', 'fractal_dimension_mean': '0.06229', 'radius_se': '0.5539', 'texture_se': '1.56', 'perimeter_se': '4.667', 'area_se': '83.16', 'smoothness_se': '0.009327', 'compactness_se': '0.05121', 'concavity_se': '0.08958', 'concave points_se': '0.02465', 'symmetry_se': '0.02175', 'fractal_dimension_se': '0.005195', 'radius_worst': '25.12', 'texture_worst': '32.68', 'perimeter_worst': '177', 'area_worst': '1986', 'smoothness_worst': '0.1536', 'compactness_worst': '0.4167', 'concavity_worst': '0.7892', 'concave points_worst': '0.2733', 'symmetry_worst': '0.3198', 'fractal_dimension_worst': '0.08762'}
{'id': '87880', 'diagnosis': 'M', 'radius_mean': '13.81', 'texture_mean': '23.75', 'perimeter_mean': '91.56', 'area_mean': '597.8', 'smoothness_mean': '0.1323', 'compactness_mean': '0.1768', 'concavity_mean': '0.1558', 'concave points_mean': '0.09176', 'symmetry_mean': '0.2251', 'fractal_dimension_mean': '0.07421', 'radius_se': '0.5648', 'texture_se': '1.93', 'perimeter_se': '3.909', 'area_se': '52.72', 'smoothness_se': '0.008824', 'compactness_se': '0.03108', 'concavity_se': '0.03112', 'concave points_se': '0.01291', 'symmetry_se': '0.01998', 'fractal_dimension_se': '0.004506', 'radius_worst': '19.2', 'texture_worst': '41.85', 'perimeter_worst': '128.5', 'area_worst': '1153', 'smoothness_worst': '0.2226', 'compactness_worst': '0.5209', 'concavity_worst': '0.4646', 'concave points_worst': '0.2013', 'symmetry_worst': '0.4432', 'fractal_dimension_worst': '0.1086'}
{'id': '87930', 'diagnosis': 'B', 'radius_mean': '12.47', 'texture_mean': '18.6', 'perimeter_mean': '81.09', 'area_mean': '481.9', 'smoothness_mean': '0.09965', 'compactness_mean': '0.1058', 'concavity_mean': '0.08005', 'concave points_mean': '0.03821', 'symmetry_mean': '0.1925', 'fractal_dimension_mean': '0.06373', 'radius_se': '0.3961', 'texture_se': '1.044', 'perimeter_se': '2.497', 'area_se': '30.29', 'smoothness_se': '0.006953', 'compactness_se': '0.01911', 'concavity_se': '0.02701', 'concave points_se': '0.01037', 'symmetry_se': '0.01782', 'fractal_dimension_se': '0.003586', 'radius_worst': '14.97', 'texture_worst': '24.64', 'perimeter_worst': '96.05', 'area_worst': '677.9', 'smoothness_worst': '0.1426', 'compactness_worst': '0.2378', 'concavity_worst': '0.2671', 'concave points_worst': '0.1015', 'symmetry_worst': '0.3014', 'fractal_dimension_worst': '0.0875'}
{'id': '879523', 'diagnosis': 'M', 'radius_mean': '15.12', 'texture_mean': '16.68', 'perimeter_mean': '98.78', 'area_mean': '716.6', 'smoothness_mean': '0.08876', 'compactness_mean': '0.09588', 'concavity_mean': '0.0755', 'concave points_mean': '0.04079', 'symmetry_mean': '0.1594', 'fractal_dimension_mean': '0.05986', 'radius_se': '0.2711', 'texture_se': '0.3621', 'perimeter_se': '1.974', 'area_se': '26.44', 'smoothness_se': '0.005472', 'compactness_se': '0.01919', 'concavity_se': '0.02039', 'concave points_se': '0.00826', 'symmetry_se': '0.01523', 'fractal_dimension_se': '0.002881', 'radius_worst': '17.77', 'texture_worst': '20.24', 'perimeter_worst': '117.7', 'area_worst': '989.5', 'smoothness_worst': '0.1491', 'compactness_worst': '0.3331', 'concavity_worst': '0.3327', 'concave points_worst': '0.1252', 'symmetry_worst': '0.3415', 'fractal_dimension_worst': '0.0974'}
{'id': '879804', 'diagnosis': 'B', 'radius_mean': '9.876', 'texture_mean': '17.27', 'perimeter_mean': '62.92', 'area_mean': '295.4', 'smoothness_mean': '0.1089', 'compactness_mean': '0.07232', 'concavity_mean': '0.01756', 'concave points_mean': '0.01952', 'symmetry_mean': '0.1934', 'fractal_dimension_mean': '0.06285', 'radius_se': '0.2137', 'texture_se': '1.342', 'perimeter_se': '1.517', 'area_se': '12.33', 'smoothness_se': '0.009719', 'compactness_se': '0.01249', 'concavity_se': '0.007975', 'concave points_se': '0.007527', 'symmetry_se': '0.0221', 'fractal_dimension_se': '0.002472', 'radius_worst': '10.42', 'texture_worst': '23.22', 'perimeter_worst': '67.08', 'area_worst': '331.6', 'smoothness_worst': '0.1415', 'compactness_worst': '0.1247', 'concavity_worst': '0.06213', 'concave points_worst': '0.05588', 'symmetry_worst': '0.2989', 'fractal_dimension_worst': '0.0738'}
{'id': '879830', 'diagnosis': 'M', 'radius_mean': '17.01', 'texture_mean': '20.26', 'perimeter_mean': '109.7', 'area_mean': '904.3', 'smoothness_mean': '0.08772', 'compactness_mean': '0.07304', 'concavity_mean': '0.0695', 'concave points_mean': '0.0539', 'symmetry_mean': '0.2026', 'fractal_dimension_mean': '0.05223', 'radius_se': '0.5858', 'texture_se': '0.8554', 'perimeter_se': '4.106', 'area_se': '68.46', 'smoothness_se': '0.005038', 'compactness_se': '0.01503', 'concavity_se': '0.01946', 'concave points_se': '0.01123', 'symmetry_se': '0.02294', 'fractal_dimension_se': '0.002581', 'radius_worst': '19.8', 'texture_worst': '25.05', 'perimeter_worst': '130', 'area_worst': '1210', 'smoothness_worst': '0.1111', 'compactness_worst': '0.1486', 'concavity_worst': '0.1932', 'concave points_worst': '0.1096', 'symmetry_worst': '0.3275', 'fractal_dimension_worst': '0.06469'}
{'id': '8810158', 'diagnosis': 'B', 'radius_mean': '13.11', 'texture_mean': '22.54', 'perimeter_mean': '87.02', 'area_mean': '529.4', 'smoothness_mean': '0.1002', 'compactness_mean': '0.1483', 'concavity_mean': '0.08705', 'concave points_mean': '0.05102', 'symmetry_mean': '0.185', 'fractal_dimension_mean': '0.0731', 'radius_se': '0.1931', 'texture_se': '0.9223', 'perimeter_se': '1.491', 'area_se': '15.09', 'smoothness_se': '0.005251', 'compactness_se': '0.03041', 'concavity_se': '0.02526', 'concave points_se': '0.008304', 'symmetry_se': '0.02514', 'fractal_dimension_se': '0.004198', 'radius_worst': '14.55', 'texture_worst': '29.16', 'perimeter_worst': '99.48', 'area_worst': '639.3', 'smoothness_worst': '0.1349', 'compactness_worst': '0.4402', 'concavity_worst': '0.3162', 'concave points_worst': '0.1126', 'symmetry_worst': '0.4128', 'fractal_dimension_worst': '0.1076'}
{'id': '8810436', 'diagnosis': 'B', 'radius_mean': '15.27', 'texture_mean': '12.91', 'perimeter_mean': '98.17', 'area_mean': '725.5', 'smoothness_mean': '0.08182', 'compactness_mean': '0.0623', 'concavity_mean': '0.05892', 'concave points_mean': '0.03157', 'symmetry_mean': '0.1359', 'fractal_dimension_mean': '0.05526', 'radius_se': '0.2134', 'texture_se': '0.3628', 'perimeter_se': '1.525', 'area_se': '20', 'smoothness_se': '0.004291', 'compactness_se': '0.01236', 'concavity_se': '0.01841', 'concave points_se': '0.007373', 'symmetry_se': '0.009539', 'fractal_dimension_se': '0.001656', 'radius_worst': '17.38', 'texture_worst': '15.92', 'perimeter_worst': '113.7', 'area_worst': '932.7', 'smoothness_worst': '0.1222', 'compactness_worst': '0.2186', 'concavity_worst': '0.2962', 'concave points_worst': '0.1035', 'symmetry_worst': '0.232', 'fractal_dimension_worst': '0.07474'}
{'id': '881046502', 'diagnosis': 'M', 'radius_mean': '20.58', 'texture_mean': '22.14', 'perimeter_mean': '134.7', 'area_mean': '1290', 'smoothness_mean': '0.0909', 'compactness_mean': '0.1348', 'concavity_mean': '0.164', 'concave points_mean': '0.09561', 'symmetry_mean': '0.1765', 'fractal_dimension_mean': '0.05024', 'radius_se': '0.8601', 'texture_se': '1.48', 'perimeter_se': '7.029', 'area_se': '111.7', 'smoothness_se': '0.008124', 'compactness_se': '0.03611', 'concavity_se': '0.05489', 'concave points_se': '0.02765', 'symmetry_se': '0.03176', 'fractal_dimension_se': '0.002365', 'radius_worst': '23.24', 'texture_worst': '27.84', 'perimeter_worst': '158.3', 'area_worst': '1656', 'smoothness_worst': '0.1178', 'compactness_worst': '0.292', 'concavity_worst': '0.3861', 'concave points_worst': '0.192', 'symmetry_worst': '0.2909', 'fractal_dimension_worst': '0.05865'}
{'id': '8810528', 'diagnosis': 'B', 'radius_mean': '11.84', 'texture_mean': '18.94', 'perimeter_mean': '75.51', 'area_mean': '428', 'smoothness_mean': '0.08871', 'compactness_mean': '0.069', 'concavity_mean': '0.02669', 'concave points_mean': '0.01393', 'symmetry_mean': '0.1533', 'fractal_dimension_mean': '0.06057', 'radius_se': '0.2222', 'texture_se': '0.8652', 'perimeter_se': '1.444', 'area_se': '17.12', 'smoothness_se': '0.005517', 'compactness_se': '0.01727', 'concavity_se': '0.02045', 'concave points_se': '0.006747', 'symmetry_se': '0.01616', 'fractal_dimension_se': '0.002922', 'radius_worst': '13.3', 'texture_worst': '24.99', 'perimeter_worst': '85.22', 'area_worst': '546.3', 'smoothness_worst': '0.128', 'compactness_worst': '0.188', 'concavity_worst': '0.1471', 'concave points_worst': '0.06913', 'symmetry_worst': '0.2535', 'fractal_dimension_worst': '0.07993'}
{'id': '8810703', 'diagnosis': 'M', 'radius_mean': '28.11', 'texture_mean': '18.47', 'perimeter_mean': '188.5', 'area_mean': '2499', 'smoothness_mean': '0.1142', 'compactness_mean': '0.1516', 'concavity_mean': '0.3201', 'concave points_mean': '0.1595', 'symmetry_mean': '0.1648', 'fractal_dimension_mean': '0.05525', 'radius_se': '2.873', 'texture_se': '1.476', 'perimeter_se': '21.98', 'area_se': '525.6', 'smoothness_se': '0.01345', 'compactness_se': '0.02772', 'concavity_se': '0.06389', 'concave points_se': '0.01407', 'symmetry_se': '0.04783', 'fractal_dimension_se': '0.004476', 'radius_worst': '28.11', 'texture_worst': '18.47', 'perimeter_worst': '188.5', 'area_worst': '2499', 'smoothness_worst': '0.1142', 'compactness_worst': '0.1516', 'concavity_worst': '0.3201', 'concave points_worst': '0.1595', 'symmetry_worst': '0.1648', 'fractal_dimension_worst': '0.05525'}
{'id': '881094802', 'diagnosis': 'M', 'radius_mean': '17.42', 'texture_mean': '25.56', 'perimeter_mean': '114.5', 'area_mean': '948', 'smoothness_mean': '0.1006', 'compactness_mean': '0.1146', 'concavity_mean': '0.1682', 'concave points_mean': '0.06597', 'symmetry_mean': '0.1308', 'fractal_dimension_mean': '0.05866', 'radius_se': '0.5296', 'texture_se': '1.667', 'perimeter_se': '3.767', 'area_se': '58.53', 'smoothness_se': '0.03113', 'compactness_se': '0.08555', 'concavity_se': '0.1438', 'concave points_se': '0.03927', 'symmetry_se': '0.02175', 'fractal_dimension_se': '0.01256', 'radius_worst': '18.07', 'texture_worst': '28.07', 'perimeter_worst': '120.4', 'area_worst': '1021', 'smoothness_worst': '0.1243', 'compactness_worst': '0.1793', 'concavity_worst': '0.2803', 'concave points_worst': '0.1099', 'symmetry_worst': '0.1603', 'fractal_dimension_worst': '0.06818'}
{'id': '8810955', 'diagnosis': 'M', 'radius_mean': '14.19', 'texture_mean': '23.81', 'perimeter_mean': '92.87', 'area_mean': '610.7', 'smoothness_mean': '0.09463', 'compactness_mean': '0.1306', 'concavity_mean': '0.1115', 'concave points_mean': '0.06462', 'symmetry_mean': '0.2235', 'fractal_dimension_mean': '0.06433', 'radius_se': '0.4207', 'texture_se': '1.845', 'perimeter_se': '3.534', 'area_se': '31', 'smoothness_se': '0.01088', 'compactness_se': '0.0371', 'concavity_se': '0.03688', 'concave points_se': '0.01627', 'symmetry_se': '0.04499', 'fractal_dimension_se': '0.004768', 'radius_worst': '16.86', 'texture_worst': '34.85', 'perimeter_worst': '115', 'area_worst': '811.3', 'smoothness_worst': '0.1559', 'compactness_worst': '0.4059', 'concavity_worst': '0.3744', 'concave points_worst': '0.1772', 'symmetry_worst': '0.4724', 'fractal_dimension_worst': '0.1026'}
{'id': '8810987', 'diagnosis': 'M', 'radius_mean': '13.86', 'texture_mean': '16.93', 'perimeter_mean': '90.96', 'area_mean': '578.9', 'smoothness_mean': '0.1026', 'compactness_mean': '0.1517', 'concavity_mean': '0.09901', 'concave points_mean': '0.05602', 'symmetry_mean': '0.2106', 'fractal_dimension_mean': '0.06916', 'radius_se': '0.2563', 'texture_se': '1.194', 'perimeter_se': '1.933', 'area_se': '22.69', 'smoothness_se': '0.00596', 'compactness_se': '0.03438', 'concavity_se': '0.03909', 'concave points_se': '0.01435', 'symmetry_se': '0.01939', 'fractal_dimension_se': '0.00456', 'radius_worst': '15.75', 'texture_worst': '26.93', 'perimeter_worst': '104.4', 'area_worst': '750.1', 'smoothness_worst': '0.146', 'compactness_worst': '0.437', 'concavity_worst': '0.4636', 'concave points_worst': '0.1654', 'symmetry_worst': '0.363', 'fractal_dimension_worst': '0.1059'}
{'id': '8811523', 'diagnosis': 'B', 'radius_mean': '11.89', 'texture_mean': '18.35', 'perimeter_mean': '77.32', 'area_mean': '432.2', 'smoothness_mean': '0.09363', 'compactness_mean': '0.1154', 'concavity_mean': '0.06636', 'concave points_mean': '0.03142', 'symmetry_mean': '0.1967', 'fractal_dimension_mean': '0.06314', 'radius_se': '0.2963', 'texture_se': '1.563', 'perimeter_se': '2.087', 'area_se': '21.46', 'smoothness_se': '0.008872', 'compactness_se': '0.04192', 'concavity_se': '0.05946', 'concave points_se': '0.01785', 'symmetry_se': '0.02793', 'fractal_dimension_se': '0.004775', 'radius_worst': '13.25', 'texture_worst': '27.1', 'perimeter_worst': '86.2', 'area_worst': '531.2', 'smoothness_worst': '0.1405', 'compactness_worst': '0.3046', 'concavity_worst': '0.2806', 'concave points_worst': '0.1138', 'symmetry_worst': '0.3397', 'fractal_dimension_worst': '0.08365'}
{'id': '8811779', 'diagnosis': 'B', 'radius_mean': '10.2', 'texture_mean': '17.48', 'perimeter_mean': '65.05', 'area_mean': '321.2', 'smoothness_mean': '0.08054', 'compactness_mean': '0.05907', 'concavity_mean': '0.05774', 'concave points_mean': '0.01071', 'symmetry_mean': '0.1964', 'fractal_dimension_mean': '0.06315', 'radius_se': '0.3567', 'texture_se': '1.922', 'perimeter_se': '2.747', 'area_se': '22.79', 'smoothness_se': '0.00468', 'compactness_se': '0.0312', 'concavity_se': '0.05774', 'concave points_se': '0.01071', 'symmetry_se': '0.0256', 'fractal_dimension_se': '0.004613', 'radius_worst': '11.48', 'texture_worst': '24.47', 'perimeter_worst': '75.4', 'area_worst': '403.7', 'smoothness_worst': '0.09527', 'compactness_worst': '0.1397', 'concavity_worst': '0.1925', 'concave points_worst': '0.03571', 'symmetry_worst': '0.2868', 'fractal_dimension_worst': '0.07809'}
{'id': '8811842', 'diagnosis': 'M', 'radius_mean': '19.8', 'texture_mean': '21.56', 'perimeter_mean': '129.7', 'area_mean': '1230', 'smoothness_mean': '0.09383', 'compactness_mean': '0.1306', 'concavity_mean': '0.1272', 'concave points_mean': '0.08691', 'symmetry_mean': '0.2094', 'fractal_dimension_mean': '0.05581', 'radius_se': '0.9553', 'texture_se': '1.186', 'perimeter_se': '6.487', 'area_se': '124.4', 'smoothness_se': '0.006804', 'compactness_se': '0.03169', 'concavity_se': '0.03446', 'concave points_se': '0.01712', 'symmetry_se': '0.01897', 'fractal_dimension_se': '0.004045', 'radius_worst': '25.73', 'texture_worst': '28.64', 'perimeter_worst': '170.3', 'area_worst': '2009', 'smoothness_worst': '0.1353', 'compactness_worst': '0.3235', 'concavity_worst': '0.3617', 'concave points_worst': '0.182', 'symmetry_worst': '0.307', 'fractal_dimension_worst': '0.08255'}
{'id': '88119002', 'diagnosis': 'M', 'radius_mean': '19.53', 'texture_mean': '32.47', 'perimeter_mean': '128', 'area_mean': '1223', 'smoothness_mean': '0.0842', 'compactness_mean': '0.113', 'concavity_mean': '0.1145', 'concave points_mean': '0.06637', 'symmetry_mean': '0.1428', 'fractal_dimension_mean': '0.05313', 'radius_se': '0.7392', 'texture_se': '1.321', 'perimeter_se': '4.722', 'area_se': '109.9', 'smoothness_se': '0.005539', 'compactness_se': '0.02644', 'concavity_se': '0.02664', 'concave points_se': '0.01078', 'symmetry_se': '0.01332', 'fractal_dimension_se': '0.002256', 'radius_worst': '27.9', 'texture_worst': '45.41', 'perimeter_worst': '180.2', 'area_worst': '2477', 'smoothness_worst': '0.1408', 'compactness_worst': '0.4097', 'concavity_worst': '0.3995', 'concave points_worst': '0.1625', 'symmetry_worst': '0.2713', 'fractal_dimension_worst': '0.07568'}
{'id': '8812816', 'diagnosis': 'B', 'radius_mean': '13.65', 'texture_mean': '13.16', 'perimeter_mean': '87.88', 'area_mean': '568.9', 'smoothness_mean': '0.09646', 'compactness_mean': '0.08711', 'concavity_mean': '0.03888', 'concave points_mean': '0.02563', 'symmetry_mean': '0.136', 'fractal_dimension_mean': '0.06344', 'radius_se': '0.2102', 'texture_se': '0.4336', 'perimeter_se': '1.391', 'area_se': '17.4', 'smoothness_se': '0.004133', 'compactness_se': '0.01695', 'concavity_se': '0.01652', 'concave points_se': '0.006659', 'symmetry_se': '0.01371', 'fractal_dimension_se': '0.002735', 'radius_worst': '15.34', 'texture_worst': '16.35', 'perimeter_worst': '99.71', 'area_worst': '706.2', 'smoothness_worst': '0.1311', 'compactness_worst': '0.2474', 'concavity_worst': '0.1759', 'concave points_worst': '0.08056', 'symmetry_worst': '0.238', 'fractal_dimension_worst': '0.08718'}
{'id': '8812818', 'diagnosis': 'B', 'radius_mean': '13.56', 'texture_mean': '13.9', 'perimeter_mean': '88.59', 'area_mean': '561.3', 'smoothness_mean': '0.1051', 'compactness_mean': '0.1192', 'concavity_mean': '0.0786', 'concave points_mean': '0.04451', 'symmetry_mean': '0.1962', 'fractal_dimension_mean': '0.06303', 'radius_se': '0.2569', 'texture_se': '0.4981', 'perimeter_se': '2.011', 'area_se': '21.03', 'smoothness_se': '0.005851', 'compactness_se': '0.02314', 'concavity_se': '0.02544', 'concave points_se': '0.00836', 'symmetry_se': '0.01842', 'fractal_dimension_se': '0.002918', 'radius_worst': '14.98', 'texture_worst': '17.13', 'perimeter_worst': '101.1', 'area_worst': '686.6', 'smoothness_worst': '0.1376', 'compactness_worst': '0.2698', 'concavity_worst': '0.2577', 'concave points_worst': '0.0909', 'symmetry_worst': '0.3065', 'fractal_dimension_worst': '0.08177'}
{'id': '8812844', 'diagnosis': 'B', 'radius_mean': '10.18', 'texture_mean': '17.53', 'perimeter_mean': '65.12', 'area_mean': '313.1', 'smoothness_mean': '0.1061', 'compactness_mean': '0.08502', 'concavity_mean': '0.01768', 'concave points_mean': '0.01915', 'symmetry_mean': '0.191', 'fractal_dimension_mean': '0.06908', 'radius_se': '0.2467', 'texture_se': '1.217', 'perimeter_se': '1.641', 'area_se': '15.05', 'smoothness_se': '0.007899', 'compactness_se': '0.014', 'concavity_se': '0.008534', 'concave points_se': '0.007624', 'symmetry_se': '0.02637', 'fractal_dimension_se': '0.003761', 'radius_worst': '11.17', 'texture_worst': '22.84', 'perimeter_worst': '71.94', 'area_worst': '375.6', 'smoothness_worst': '0.1406', 'compactness_worst': '0.144', 'concavity_worst': '0.06572', 'concave points_worst': '0.05575', 'symmetry_worst': '0.3055', 'fractal_dimension_worst': '0.08797'}
{'id': '8812877', 'diagnosis': 'M', 'radius_mean': '15.75', 'texture_mean': '20.25', 'perimeter_mean': '102.6', 'area_mean': '761.3', 'smoothness_mean': '0.1025', 'compactness_mean': '0.1204', 'concavity_mean': '0.1147', 'concave points_mean': '0.06462', 'symmetry_mean': '0.1935', 'fractal_dimension_mean': '0.06303', 'radius_se': '0.3473', 'texture_se': '0.9209', 'perimeter_se': '2.244', 'area_se': '32.19', 'smoothness_se': '0.004766', 'compactness_se': '0.02374', 'concavity_se': '0.02384', 'concave points_se': '0.008637', 'symmetry_se': '0.01772', 'fractal_dimension_se': '0.003131', 'radius_worst': '19.56', 'texture_worst': '30.29', 'perimeter_worst': '125.9', 'area_worst': '1088', 'smoothness_worst': '0.1552', 'compactness_worst': '0.448', 'concavity_worst': '0.3976', 'concave points_worst': '0.1479', 'symmetry_worst': '0.3993', 'fractal_dimension_worst': '0.1064'}
{'id': '8813129', 'diagnosis': 'B', 'radius_mean': '13.27', 'texture_mean': '17.02', 'perimeter_mean': '84.55', 'area_mean': '546.4', 'smoothness_mean': '0.08445', 'compactness_mean': '0.04994', 'concavity_mean': '0.03554', 'concave points_mean': '0.02456', 'symmetry_mean': '0.1496', 'fractal_dimension_mean': '0.05674', 'radius_se': '0.2927', 'texture_se': '0.8907', 'perimeter_se': '2.044', 'area_se': '24.68', 'smoothness_se': '0.006032', 'compactness_se': '0.01104', 'concavity_se': '0.02259', 'concave points_se': '0.009057', 'symmetry_se': '0.01482', 'fractal_dimension_se': '0.002496', 'radius_worst': '15.14', 'texture_worst': '23.6', 'perimeter_worst': '98.84', 'area_worst': '708.8', 'smoothness_worst': '0.1276', 'compactness_worst': '0.1311', 'concavity_worst': '0.1786', 'concave points_worst': '0.09678', 'symmetry_worst': '0.2506', 'fractal_dimension_worst': '0.07623'}
{'id': '88143502', 'diagnosis': 'B', 'radius_mean': '14.34', 'texture_mean': '13.47', 'perimeter_mean': '92.51', 'area_mean': '641.2', 'smoothness_mean': '0.09906', 'compactness_mean': '0.07624', 'concavity_mean': '0.05724', 'concave points_mean': '0.04603', 'symmetry_mean': '0.2075', 'fractal_dimension_mean': '0.05448', 'radius_se': '0.522', 'texture_se': '0.8121', 'perimeter_se': '3.763', 'area_se': '48.29', 'smoothness_se': '0.007089', 'compactness_se': '0.01428', 'concavity_se': '0.0236', 'concave points_se': '0.01286', 'symmetry_se': '0.02266', 'fractal_dimension_se': '0.001463', 'radius_worst': '16.77', 'texture_worst': '16.9', 'perimeter_worst': '110.4', 'area_worst': '873.2', 'smoothness_worst': '0.1297', 'compactness_worst': '0.1525', 'concavity_worst': '0.1632', 'concave points_worst': '0.1087', 'symmetry_worst': '0.3062', 'fractal_dimension_worst': '0.06072'}
{'id': '88147101', 'diagnosis': 'B', 'radius_mean': '10.44', 'texture_mean': '15.46', 'perimeter_mean': '66.62', 'area_mean': '329.6', 'smoothness_mean': '0.1053', 'compactness_mean': '0.07722', 'concavity_mean': '0.006643', 'concave points_mean': '0.01216', 'symmetry_mean': '0.1788', 'fractal_dimension_mean': '0.0645', 'radius_se': '0.1913', 'texture_se': '0.9027', 'perimeter_se': '1.208', 'area_se': '11.86', 'smoothness_se': '0.006513', 'compactness_se': '0.008061', 'concavity_se': '0.002817', 'concave points_se': '0.004972', 'symmetry_se': '0.01502', 'fractal_dimension_se': '0.002821', 'radius_worst': '11.52', 'texture_worst': '19.8', 'perimeter_worst': '73.47', 'area_worst': '395.4', 'smoothness_worst': '0.1341', 'compactness_worst': '0.1153', 'concavity_worst': '0.02639', 'concave points_worst': '0.04464', 'symmetry_worst': '0.2615', 'fractal_dimension_worst': '0.08269'}
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{'id': '88147202', 'diagnosis': 'B', 'radius_mean': '12.62', 'texture_mean': '23.97', 'perimeter_mean': '81.35', 'area_mean': '496.4', 'smoothness_mean': '0.07903', 'compactness_mean': '0.07529', 'concavity_mean': '0.05438', 'concave points_mean': '0.02036', 'symmetry_mean': '0.1514', 'fractal_dimension_mean': '0.06019', 'radius_se': '0.2449', 'texture_se': '1.066', 'perimeter_se': '1.445', 'area_se': '18.51', 'smoothness_se': '0.005169', 'compactness_se': '0.02294', 'concavity_se': '0.03016', 'concave points_se': '0.008691', 'symmetry_se': '0.01365', 'fractal_dimension_se': '0.003407', 'radius_worst': '14.2', 'texture_worst': '31.31', 'perimeter_worst': '90.67', 'area_worst': '624', 'smoothness_worst': '0.1227', 'compactness_worst': '0.3454', 'concavity_worst': '0.3911', 'concave points_worst': '0.118', 'symmetry_worst': '0.2826', 'fractal_dimension_worst': '0.09585'}
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{'id': '88299702', 'diagnosis': 'M', 'radius_mean': '23.21', 'texture_mean': '26.97', 'perimeter_mean': '153.5', 'area_mean': '1670', 'smoothness_mean': '0.09509', 'compactness_mean': '0.1682', 'concavity_mean': '0.195', 'concave points_mean': '0.1237', 'symmetry_mean': '0.1909', 'fractal_dimension_mean': '0.06309', 'radius_se': '1.058', 'texture_se': '0.9635', 'perimeter_se': '7.247', 'area_se': '155.8', 'smoothness_se': '0.006428', 'compactness_se': '0.02863', 'concavity_se': '0.04497', 'concave points_se': '0.01716', 'symmetry_se': '0.0159', 'fractal_dimension_se': '0.003053', 'radius_worst': '31.01', 'texture_worst': '34.51', 'perimeter_worst': '206', 'area_worst': '2944', 'smoothness_worst': '0.1481', 'compactness_worst': '0.4126', 'concavity_worst': '0.582', 'concave points_worst': '0.2593', 'symmetry_worst': '0.3103', 'fractal_dimension_worst': '0.08677'}
{'id': '883263', 'diagnosis': 'M', 'radius_mean': '20.48', 'texture_mean': '21.46', 'perimeter_mean': '132.5', 'area_mean': '1306', 'smoothness_mean': '0.08355', 'compactness_mean': '0.08348', 'concavity_mean': '0.09042', 'concave points_mean': '0.06022', 'symmetry_mean': '0.1467', 'fractal_dimension_mean': '0.05177', 'radius_se': '0.6874', 'texture_se': '1.041', 'perimeter_se': '5.144', 'area_se': '83.5', 'smoothness_se': '0.007959', 'compactness_se': '0.03133', 'concavity_se': '0.04257', 'concave points_se': '0.01671', 'symmetry_se': '0.01341', 'fractal_dimension_se': '0.003933', 'radius_worst': '24.22', 'texture_worst': '26.17', 'perimeter_worst': '161.7', 'area_worst': '1750', 'smoothness_worst': '0.1228', 'compactness_worst': '0.2311', 'concavity_worst': '0.3158', 'concave points_worst': '0.1445', 'symmetry_worst': '0.2238', 'fractal_dimension_worst': '0.07127'}
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{'id': '88350402', 'diagnosis': 'B', 'radius_mean': '13.64', 'texture_mean': '15.6', 'perimeter_mean': '87.38', 'area_mean': '575.3', 'smoothness_mean': '0.09423', 'compactness_mean': '0.0663', 'concavity_mean': '0.04705', 'concave points_mean': '0.03731', 'symmetry_mean': '0.1717', 'fractal_dimension_mean': '0.0566', 'radius_se': '0.3242', 'texture_se': '0.6612', 'perimeter_se': '1.996', 'area_se': '27.19', 'smoothness_se': '0.00647', 'compactness_se': '0.01248', 'concavity_se': '0.0181', 'concave points_se': '0.01103', 'symmetry_se': '0.01898', 'fractal_dimension_se': '0.001794', 'radius_worst': '14.85', 'texture_worst': '19.05', 'perimeter_worst': '94.11', 'area_worst': '683.4', 'smoothness_worst': '0.1278', 'compactness_worst': '0.1291', 'concavity_worst': '0.1533', 'concave points_worst': '0.09222', 'symmetry_worst': '0.253', 'fractal_dimension_worst': '0.0651'}
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{'id': '883852', 'diagnosis': 'B', 'radius_mean': '11.3', 'texture_mean': '18.19', 'perimeter_mean': '73.93', 'area_mean': '389.4', 'smoothness_mean': '0.09592', 'compactness_mean': '0.1325', 'concavity_mean': '0.1548', 'concave points_mean': '0.02854', 'symmetry_mean': '0.2054', 'fractal_dimension_mean': '0.07669', 'radius_se': '0.2428', 'texture_se': '1.642', 'perimeter_se': '2.369', 'area_se': '16.39', 'smoothness_se': '0.006663', 'compactness_se': '0.05914', 'concavity_se': '0.0888', 'concave points_se': '0.01314', 'symmetry_se': '0.01995', 'fractal_dimension_se': '0.008675', 'radius_worst': '12.58', 'texture_worst': '27.96', 'perimeter_worst': '87.16', 'area_worst': '472.9', 'smoothness_worst': '0.1347', 'compactness_worst': '0.4848', 'concavity_worst': '0.7436', 'concave points_worst': '0.1218', 'symmetry_worst': '0.3308', 'fractal_dimension_worst': '0.1297'}
{'id': '88411702', 'diagnosis': 'B', 'radius_mean': '13.75', 'texture_mean': '23.77', 'perimeter_mean': '88.54', 'area_mean': '590', 'smoothness_mean': '0.08043', 'compactness_mean': '0.06807', 'concavity_mean': '0.04697', 'concave points_mean': '0.02344', 'symmetry_mean': '0.1773', 'fractal_dimension_mean': '0.05429', 'radius_se': '0.4347', 'texture_se': '1.057', 'perimeter_se': '2.829', 'area_se': '39.93', 'smoothness_se': '0.004351', 'compactness_se': '0.02667', 'concavity_se': '0.03371', 'concave points_se': '0.01007', 'symmetry_se': '0.02598', 'fractal_dimension_se': '0.003087', 'radius_worst': '15.01', 'texture_worst': '26.34', 'perimeter_worst': '98', 'area_worst': '706', 'smoothness_worst': '0.09368', 'compactness_worst': '0.1442', 'concavity_worst': '0.1359', 'concave points_worst': '0.06106', 'symmetry_worst': '0.2663', 'fractal_dimension_worst': '0.06321'}
{'id': '884180', 'diagnosis': 'M', 'radius_mean': '19.4', 'texture_mean': '23.5', 'perimeter_mean': '129.1', 'area_mean': '1155', 'smoothness_mean': '0.1027', 'compactness_mean': '0.1558', 'concavity_mean': '0.2049', 'concave points_mean': '0.08886', 'symmetry_mean': '0.1978', 'fractal_dimension_mean': '0.06', 'radius_se': '0.5243', 'texture_se': '1.802', 'perimeter_se': '4.037', 'area_se': '60.41', 'smoothness_se': '0.01061', 'compactness_se': '0.03252', 'concavity_se': '0.03915', 'concave points_se': '0.01559', 'symmetry_se': '0.02186', 'fractal_dimension_se': '0.003949', 'radius_worst': '21.65', 'texture_worst': '30.53', 'perimeter_worst': '144.9', 'area_worst': '1417', 'smoothness_worst': '0.1463', 'compactness_worst': '0.2968', 'concavity_worst': '0.3458', 'concave points_worst': '0.1564', 'symmetry_worst': '0.292', 'fractal_dimension_worst': '0.07614'}
{'id': '884437', 'diagnosis': 'B', 'radius_mean': '10.48', 'texture_mean': '19.86', 'perimeter_mean': '66.72', 'area_mean': '337.7', 'smoothness_mean': '0.107', 'compactness_mean': '0.05971', 'concavity_mean': '0.04831', 'concave points_mean': '0.0307', 'symmetry_mean': '0.1737', 'fractal_dimension_mean': '0.0644', 'radius_se': '0.3719', 'texture_se': '2.612', 'perimeter_se': '2.517', 'area_se': '23.22', 'smoothness_se': '0.01604', 'compactness_se': '0.01386', 'concavity_se': '0.01865', 'concave points_se': '0.01133', 'symmetry_se': '0.03476', 'fractal_dimension_se': '0.00356', 'radius_worst': '11.48', 'texture_worst': '29.46', 'perimeter_worst': '73.68', 'area_worst': '402.8', 'smoothness_worst': '0.1515', 'compactness_worst': '0.1026', 'concavity_worst': '0.1181', 'concave points_worst': '0.06736', 'symmetry_worst': '0.2883', 'fractal_dimension_worst': '0.07748'}
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{'id': '8860702', 'diagnosis': 'M', 'radius_mean': '17.3', 'texture_mean': '17.08', 'perimeter_mean': '113', 'area_mean': '928.2', 'smoothness_mean': '0.1008', 'compactness_mean': '0.1041', 'concavity_mean': '0.1266', 'concave points_mean': '0.08353', 'symmetry_mean': '0.1813', 'fractal_dimension_mean': '0.05613', 'radius_se': '0.3093', 'texture_se': '0.8568', 'perimeter_se': '2.193', 'area_se': '33.63', 'smoothness_se': '0.004757', 'compactness_se': '0.01503', 'concavity_se': '0.02332', 'concave points_se': '0.01262', 'symmetry_se': '0.01394', 'fractal_dimension_se': '0.002362', 'radius_worst': '19.85', 'texture_worst': '25.09', 'perimeter_worst': '130.9', 'area_worst': '1222', 'smoothness_worst': '0.1416', 'compactness_worst': '0.2405', 'concavity_worst': '0.3378', 'concave points_worst': '0.1857', 'symmetry_worst': '0.3138', 'fractal_dimension_worst': '0.08113'}
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{'id': '886452', 'diagnosis': 'M', 'radius_mean': '13.96', 'texture_mean': '17.05', 'perimeter_mean': '91.43', 'area_mean': '602.4', 'smoothness_mean': '0.1096', 'compactness_mean': '0.1279', 'concavity_mean': '0.09789', 'concave points_mean': '0.05246', 'symmetry_mean': '0.1908', 'fractal_dimension_mean': '0.0613', 'radius_se': '0.425', 'texture_se': '0.8098', 'perimeter_se': '2.563', 'area_se': '35.74', 'smoothness_se': '0.006351', 'compactness_se': '0.02679', 'concavity_se': '0.03119', 'concave points_se': '0.01342', 'symmetry_se': '0.02062', 'fractal_dimension_se': '0.002695', 'radius_worst': '16.39', 'texture_worst': '22.07', 'perimeter_worst': '108.1', 'area_worst': '826', 'smoothness_worst': '0.1512', 'compactness_worst': '0.3262', 'concavity_worst': '0.3209', 'concave points_worst': '0.1374', 'symmetry_worst': '0.3068', 'fractal_dimension_worst': '0.07957'}
{'id': '88649001', 'diagnosis': 'M', 'radius_mean': '19.55', 'texture_mean': '28.77', 'perimeter_mean': '133.6', 'area_mean': '1207', 'smoothness_mean': '0.0926', 'compactness_mean': '0.2063', 'concavity_mean': '0.1784', 'concave points_mean': '0.1144', 'symmetry_mean': '0.1893', 'fractal_dimension_mean': '0.06232', 'radius_se': '0.8426', 'texture_se': '1.199', 'perimeter_se': '7.158', 'area_se': '106.4', 'smoothness_se': '0.006356', 'compactness_se': '0.04765', 'concavity_se': '0.03863', 'concave points_se': '0.01519', 'symmetry_se': '0.01936', 'fractal_dimension_se': '0.005252', 'radius_worst': '25.05', 'texture_worst': '36.27', 'perimeter_worst': '178.6', 'area_worst': '1926', 'smoothness_worst': '0.1281', 'compactness_worst': '0.5329', 'concavity_worst': '0.4251', 'concave points_worst': '0.1941', 'symmetry_worst': '0.2818', 'fractal_dimension_worst': '0.1005'}
{'id': '886776', 'diagnosis': 'M', 'radius_mean': '15.32', 'texture_mean': '17.27', 'perimeter_mean': '103.2', 'area_mean': '713.3', 'smoothness_mean': '0.1335', 'compactness_mean': '0.2284', 'concavity_mean': '0.2448', 'concave points_mean': '0.1242', 'symmetry_mean': '0.2398', 'fractal_dimension_mean': '0.07596', 'radius_se': '0.6592', 'texture_se': '1.059', 'perimeter_se': '4.061', 'area_se': '59.46', 'smoothness_se': '0.01015', 'compactness_se': '0.04588', 'concavity_se': '0.04983', 'concave points_se': '0.02127', 'symmetry_se': '0.01884', 'fractal_dimension_se': '0.00866', 'radius_worst': '17.73', 'texture_worst': '22.66', 'perimeter_worst': '119.8', 'area_worst': '928.8', 'smoothness_worst': '0.1765', 'compactness_worst': '0.4503', 'concavity_worst': '0.4429', 'concave points_worst': '0.2229', 'symmetry_worst': '0.3258', 'fractal_dimension_worst': '0.1191'}
{'id': '887181', 'diagnosis': 'M', 'radius_mean': '15.66', 'texture_mean': '23.2', 'perimeter_mean': '110.2', 'area_mean': '773.5', 'smoothness_mean': '0.1109', 'compactness_mean': '0.3114', 'concavity_mean': '0.3176', 'concave points_mean': '0.1377', 'symmetry_mean': '0.2495', 'fractal_dimension_mean': '0.08104', 'radius_se': '1.292', 'texture_se': '2.454', 'perimeter_se': '10.12', 'area_se': '138.5', 'smoothness_se': '0.01236', 'compactness_se': '0.05995', 'concavity_se': '0.08232', 'concave points_se': '0.03024', 'symmetry_se': '0.02337', 'fractal_dimension_se': '0.006042', 'radius_worst': '19.85', 'texture_worst': '31.64', 'perimeter_worst': '143.7', 'area_worst': '1226', 'smoothness_worst': '0.1504', 'compactness_worst': '0.5172', 'concavity_worst': '0.6181', 'concave points_worst': '0.2462', 'symmetry_worst': '0.3277', 'fractal_dimension_worst': '0.1019'}
{'id': '88725602', 'diagnosis': 'M', 'radius_mean': '15.53', 'texture_mean': '33.56', 'perimeter_mean': '103.7', 'area_mean': '744.9', 'smoothness_mean': '0.1063', 'compactness_mean': '0.1639', 'concavity_mean': '0.1751', 'concave points_mean': '0.08399', 'symmetry_mean': '0.2091', 'fractal_dimension_mean': '0.0665', 'radius_se': '0.2419', 'texture_se': '1.278', 'perimeter_se': '1.903', 'area_se': '23.02', 'smoothness_se': '0.005345', 'compactness_se': '0.02556', 'concavity_se': '0.02889', 'concave points_se': '0.01022', 'symmetry_se': '0.009947', 'fractal_dimension_se': '0.003359', 'radius_worst': '18.49', 'texture_worst': '49.54', 'perimeter_worst': '126.3', 'area_worst': '1035', 'smoothness_worst': '0.1883', 'compactness_worst': '0.5564', 'concavity_worst': '0.5703', 'concave points_worst': '0.2014', 'symmetry_worst': '0.3512', 'fractal_dimension_worst': '0.1204'}
{'id': '887549', 'diagnosis': 'M', 'radius_mean': '20.31', 'texture_mean': '27.06', 'perimeter_mean': '132.9', 'area_mean': '1288', 'smoothness_mean': '0.1', 'compactness_mean': '0.1088', 'concavity_mean': '0.1519', 'concave points_mean': '0.09333', 'symmetry_mean': '0.1814', 'fractal_dimension_mean': '0.05572', 'radius_se': '0.3977', 'texture_se': '1.033', 'perimeter_se': '2.587', 'area_se': '52.34', 'smoothness_se': '0.005043', 'compactness_se': '0.01578', 'concavity_se': '0.02117', 'concave points_se': '0.008185', 'symmetry_se': '0.01282', 'fractal_dimension_se': '0.001892', 'radius_worst': '24.33', 'texture_worst': '39.16', 'perimeter_worst': '162.3', 'area_worst': '1844', 'smoothness_worst': '0.1522', 'compactness_worst': '0.2945', 'concavity_worst': '0.3788', 'concave points_worst': '0.1697', 'symmetry_worst': '0.3151', 'fractal_dimension_worst': '0.07999'}
{'id': '888264', 'diagnosis': 'M', 'radius_mean': '17.35', 'texture_mean': '23.06', 'perimeter_mean': '111', 'area_mean': '933.1', 'smoothness_mean': '0.08662', 'compactness_mean': '0.0629', 'concavity_mean': '0.02891', 'concave points_mean': '0.02837', 'symmetry_mean': '0.1564', 'fractal_dimension_mean': '0.05307', 'radius_se': '0.4007', 'texture_se': '1.317', 'perimeter_se': '2.577', 'area_se': '44.41', 'smoothness_se': '0.005726', 'compactness_se': '0.01106', 'concavity_se': '0.01246', 'concave points_se': '0.007671', 'symmetry_se': '0.01411', 'fractal_dimension_se': '0.001578', 'radius_worst': '19.85', 'texture_worst': '31.47', 'perimeter_worst': '128.2', 'area_worst': '1218', 'smoothness_worst': '0.124', 'compactness_worst': '0.1486', 'concavity_worst': '0.1211', 'concave points_worst': '0.08235', 'symmetry_worst': '0.2452', 'fractal_dimension_worst': '0.06515'}
{'id': '888570', 'diagnosis': 'M', 'radius_mean': '17.29', 'texture_mean': '22.13', 'perimeter_mean': '114.4', 'area_mean': '947.8', 'smoothness_mean': '0.08999', 'compactness_mean': '0.1273', 'concavity_mean': '0.09697', 'concave points_mean': '0.07507', 'symmetry_mean': '0.2108', 'fractal_dimension_mean': '0.05464', 'radius_se': '0.8348', 'texture_se': '1.633', 'perimeter_se': '6.146', 'area_se': '90.94', 'smoothness_se': '0.006717', 'compactness_se': '0.05981', 'concavity_se': '0.04638', 'concave points_se': '0.02149', 'symmetry_se': '0.02747', 'fractal_dimension_se': '0.005838', 'radius_worst': '20.39', 'texture_worst': '27.24', 'perimeter_worst': '137.9', 'area_worst': '1295', 'smoothness_worst': '0.1134', 'compactness_worst': '0.2867', 'concavity_worst': '0.2298', 'concave points_worst': '0.1528', 'symmetry_worst': '0.3067', 'fractal_dimension_worst': '0.07484'}
{'id': '889403', 'diagnosis': 'M', 'radius_mean': '15.61', 'texture_mean': '19.38', 'perimeter_mean': '100', 'area_mean': '758.6', 'smoothness_mean': '0.0784', 'compactness_mean': '0.05616', 'concavity_mean': '0.04209', 'concave points_mean': '0.02847', 'symmetry_mean': '0.1547', 'fractal_dimension_mean': '0.05443', 'radius_se': '0.2298', 'texture_se': '0.9988', 'perimeter_se': '1.534', 'area_se': '22.18', 'smoothness_se': '0.002826', 'compactness_se': '0.009105', 'concavity_se': '0.01311', 'concave points_se': '0.005174', 'symmetry_se': '0.01013', 'fractal_dimension_se': '0.001345', 'radius_worst': '17.91', 'texture_worst': '31.67', 'perimeter_worst': '115.9', 'area_worst': '988.6', 'smoothness_worst': '0.1084', 'compactness_worst': '0.1807', 'concavity_worst': '0.226', 'concave points_worst': '0.08568', 'symmetry_worst': '0.2683', 'fractal_dimension_worst': '0.06829'}
{'id': '889719', 'diagnosis': 'M', 'radius_mean': '17.19', 'texture_mean': '22.07', 'perimeter_mean': '111.6', 'area_mean': '928.3', 'smoothness_mean': '0.09726', 'compactness_mean': '0.08995', 'concavity_mean': '0.09061', 'concave points_mean': '0.06527', 'symmetry_mean': '0.1867', 'fractal_dimension_mean': '0.0558', 'radius_se': '0.4203', 'texture_se': '0.7383', 'perimeter_se': '2.819', 'area_se': '45.42', 'smoothness_se': '0.004493', 'compactness_se': '0.01206', 'concavity_se': '0.02048', 'concave points_se': '0.009875', 'symmetry_se': '0.01144', 'fractal_dimension_se': '0.001575', 'radius_worst': '21.58', 'texture_worst': '29.33', 'perimeter_worst': '140.5', 'area_worst': '1436', 'smoothness_worst': '0.1558', 'compactness_worst': '0.2567', 'concavity_worst': '0.3889', 'concave points_worst': '0.1984', 'symmetry_worst': '0.3216', 'fractal_dimension_worst': '0.0757'}
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{'id': '8910251', 'diagnosis': 'B', 'radius_mean': '10.6', 'texture_mean': '18.95', 'perimeter_mean': '69.28', 'area_mean': '346.4', 'smoothness_mean': '0.09688', 'compactness_mean': '0.1147', 'concavity_mean': '0.06387', 'concave points_mean': '0.02642', 'symmetry_mean': '0.1922', 'fractal_dimension_mean': '0.06491', 'radius_se': '0.4505', 'texture_se': '1.197', 'perimeter_se': '3.43', 'area_se': '27.1', 'smoothness_se': '0.00747', 'compactness_se': '0.03581', 'concavity_se': '0.03354', 'concave points_se': '0.01365', 'symmetry_se': '0.03504', 'fractal_dimension_se': '0.003318', 'radius_worst': '11.88', 'texture_worst': '22.94', 'perimeter_worst': '78.28', 'area_worst': '424.8', 'smoothness_worst': '0.1213', 'compactness_worst': '0.2515', 'concavity_worst': '0.1916', 'concave points_worst': '0.07926', 'symmetry_worst': '0.294', 'fractal_dimension_worst': '0.07587'}
{'id': '8910499', 'diagnosis': 'B', 'radius_mean': '13.59', 'texture_mean': '21.84', 'perimeter_mean': '87.16', 'area_mean': '561', 'smoothness_mean': '0.07956', 'compactness_mean': '0.08259', 'concavity_mean': '0.04072', 'concave points_mean': '0.02142', 'symmetry_mean': '0.1635', 'fractal_dimension_mean': '0.05859', 'radius_se': '0.338', 'texture_se': '1.916', 'perimeter_se': '2.591', 'area_se': '26.76', 'smoothness_se': '0.005436', 'compactness_se': '0.02406', 'concavity_se': '0.03099', 'concave points_se': '0.009919', 'symmetry_se': '0.0203', 'fractal_dimension_se': '0.003009', 'radius_worst': '14.8', 'texture_worst': '30.04', 'perimeter_worst': '97.66', 'area_worst': '661.5', 'smoothness_worst': '0.1005', 'compactness_worst': '0.173', 'concavity_worst': '0.1453', 'concave points_worst': '0.06189', 'symmetry_worst': '0.2446', 'fractal_dimension_worst': '0.07024'}
{'id': '8910506', 'diagnosis': 'B', 'radius_mean': '12.87', 'texture_mean': '16.21', 'perimeter_mean': '82.38', 'area_mean': '512.2', 'smoothness_mean': '0.09425', 'compactness_mean': '0.06219', 'concavity_mean': '0.039', 'concave points_mean': '0.01615', 'symmetry_mean': '0.201', 'fractal_dimension_mean': '0.05769', 'radius_se': '0.2345', 'texture_se': '1.219', 'perimeter_se': '1.546', 'area_se': '18.24', 'smoothness_se': '0.005518', 'compactness_se': '0.02178', 'concavity_se': '0.02589', 'concave points_se': '0.00633', 'symmetry_se': '0.02593', 'fractal_dimension_se': '0.002157', 'radius_worst': '13.9', 'texture_worst': '23.64', 'perimeter_worst': '89.27', 'area_worst': '597.5', 'smoothness_worst': '0.1256', 'compactness_worst': '0.1808', 'concavity_worst': '0.1992', 'concave points_worst': '0.0578', 'symmetry_worst': '0.3604', 'fractal_dimension_worst': '0.07062'}
{'id': '8910720', 'diagnosis': 'B', 'radius_mean': '10.71', 'texture_mean': '20.39', 'perimeter_mean': '69.5', 'area_mean': '344.9', 'smoothness_mean': '0.1082', 'compactness_mean': '0.1289', 'concavity_mean': '0.08448', 'concave points_mean': '0.02867', 'symmetry_mean': '0.1668', 'fractal_dimension_mean': '0.06862', 'radius_se': '0.3198', 'texture_se': '1.489', 'perimeter_se': '2.23', 'area_se': '20.74', 'smoothness_se': '0.008902', 'compactness_se': '0.04785', 'concavity_se': '0.07339', 'concave points_se': '0.01745', 'symmetry_se': '0.02728', 'fractal_dimension_se': '0.00761', 'radius_worst': '11.69', 'texture_worst': '25.21', 'perimeter_worst': '76.51', 'area_worst': '410.4', 'smoothness_worst': '0.1335', 'compactness_worst': '0.255', 'concavity_worst': '0.2534', 'concave points_worst': '0.086', 'symmetry_worst': '0.2605', 'fractal_dimension_worst': '0.08701'}
{'id': '8910721', 'diagnosis': 'B', 'radius_mean': '14.29', 'texture_mean': '16.82', 'perimeter_mean': '90.3', 'area_mean': '632.6', 'smoothness_mean': '0.06429', 'compactness_mean': '0.02675', 'concavity_mean': '0.00725', 'concave points_mean': '0.00625', 'symmetry_mean': '0.1508', 'fractal_dimension_mean': '0.05376', 'radius_se': '0.1302', 'texture_se': '0.7198', 'perimeter_se': '0.8439', 'area_se': '10.77', 'smoothness_se': '0.003492', 'compactness_se': '0.00371', 'concavity_se': '0.004826', 'concave points_se': '0.003608', 'symmetry_se': '0.01536', 'fractal_dimension_se': '0.001381', 'radius_worst': '14.91', 'texture_worst': '20.65', 'perimeter_worst': '94.44', 'area_worst': '684.6', 'smoothness_worst': '0.08567', 'compactness_worst': '0.05036', 'concavity_worst': '0.03866', 'concave points_worst': '0.03333', 'symmetry_worst': '0.2458', 'fractal_dimension_worst': '0.0612'}
{'id': '8910748', 'diagnosis': 'B', 'radius_mean': '11.29', 'texture_mean': '13.04', 'perimeter_mean': '72.23', 'area_mean': '388', 'smoothness_mean': '0.09834', 'compactness_mean': '0.07608', 'concavity_mean': '0.03265', 'concave points_mean': '0.02755', 'symmetry_mean': '0.1769', 'fractal_dimension_mean': '0.0627', 'radius_se': '0.1904', 'texture_se': '0.5293', 'perimeter_se': '1.164', 'area_se': '13.17', 'smoothness_se': '0.006472', 'compactness_se': '0.01122', 'concavity_se': '0.01282', 'concave points_se': '0.008849', 'symmetry_se': '0.01692', 'fractal_dimension_se': '0.002817', 'radius_worst': '12.32', 'texture_worst': '16.18', 'perimeter_worst': '78.27', 'area_worst': '457.5', 'smoothness_worst': '0.1358', 'compactness_worst': '0.1507', 'concavity_worst': '0.1275', 'concave points_worst': '0.0875', 'symmetry_worst': '0.2733', 'fractal_dimension_worst': '0.08022'}
{'id': '8910988', 'diagnosis': 'M', 'radius_mean': '21.75', 'texture_mean': '20.99', 'perimeter_mean': '147.3', 'area_mean': '1491', 'smoothness_mean': '0.09401', 'compactness_mean': '0.1961', 'concavity_mean': '0.2195', 'concave points_mean': '0.1088', 'symmetry_mean': '0.1721', 'fractal_dimension_mean': '0.06194', 'radius_se': '1.167', 'texture_se': '1.352', 'perimeter_se': '8.867', 'area_se': '156.8', 'smoothness_se': '0.005687', 'compactness_se': '0.0496', 'concavity_se': '0.06329', 'concave points_se': '0.01561', 'symmetry_se': '0.01924', 'fractal_dimension_se': '0.004614', 'radius_worst': '28.19', 'texture_worst': '28.18', 'perimeter_worst': '195.9', 'area_worst': '2384', 'smoothness_worst': '0.1272', 'compactness_worst': '0.4725', 'concavity_worst': '0.5807', 'concave points_worst': '0.1841', 'symmetry_worst': '0.2833', 'fractal_dimension_worst': '0.08858'}
{'id': '8910996', 'diagnosis': 'B', 'radius_mean': '9.742', 'texture_mean': '15.67', 'perimeter_mean': '61.5', 'area_mean': '289.9', 'smoothness_mean': '0.09037', 'compactness_mean': '0.04689', 'concavity_mean': '0.01103', 'concave points_mean': '0.01407', 'symmetry_mean': '0.2081', 'fractal_dimension_mean': '0.06312', 'radius_se': '0.2684', 'texture_se': '1.409', 'perimeter_se': '1.75', 'area_se': '16.39', 'smoothness_se': '0.0138', 'compactness_se': '0.01067', 'concavity_se': '0.008347', 'concave points_se': '0.009472', 'symmetry_se': '0.01798', 'fractal_dimension_se': '0.004261', 'radius_worst': '10.75', 'texture_worst': '20.88', 'perimeter_worst': '68.09', 'area_worst': '355.2', 'smoothness_worst': '0.1467', 'compactness_worst': '0.0937', 'concavity_worst': '0.04043', 'concave points_worst': '0.05159', 'symmetry_worst': '0.2841', 'fractal_dimension_worst': '0.08175'}
{'id': '8911163', 'diagnosis': 'M', 'radius_mean': '17.93', 'texture_mean': '24.48', 'perimeter_mean': '115.2', 'area_mean': '998.9', 'smoothness_mean': '0.08855', 'compactness_mean': '0.07027', 'concavity_mean': '0.05699', 'concave points_mean': '0.04744', 'symmetry_mean': '0.1538', 'fractal_dimension_mean': '0.0551', 'radius_se': '0.4212', 'texture_se': '1.433', 'perimeter_se': '2.765', 'area_se': '45.81', 'smoothness_se': '0.005444', 'compactness_se': '0.01169', 'concavity_se': '0.01622', 'concave points_se': '0.008522', 'symmetry_se': '0.01419', 'fractal_dimension_se': '0.002751', 'radius_worst': '20.92', 'texture_worst': '34.69', 'perimeter_worst': '135.1', 'area_worst': '1320', 'smoothness_worst': '0.1315', 'compactness_worst': '0.1806', 'concavity_worst': '0.208', 'concave points_worst': '0.1136', 'symmetry_worst': '0.2504', 'fractal_dimension_worst': '0.07948'}
{'id': '8911164', 'diagnosis': 'B', 'radius_mean': '11.89', 'texture_mean': '17.36', 'perimeter_mean': '76.2', 'area_mean': '435.6', 'smoothness_mean': '0.1225', 'compactness_mean': '0.0721', 'concavity_mean': '0.05929', 'concave points_mean': '0.07404', 'symmetry_mean': '0.2015', 'fractal_dimension_mean': '0.05875', 'radius_se': '0.6412', 'texture_se': '2.293', 'perimeter_se': '4.021', 'area_se': '48.84', 'smoothness_se': '0.01418', 'compactness_se': '0.01489', 'concavity_se': '0.01267', 'concave points_se': '0.0191', 'symmetry_se': '0.02678', 'fractal_dimension_se': '0.003002', 'radius_worst': '12.4', 'texture_worst': '18.99', 'perimeter_worst': '79.46', 'area_worst': '472.4', 'smoothness_worst': '0.1359', 'compactness_worst': '0.08368', 'concavity_worst': '0.07153', 'concave points_worst': '0.08946', 'symmetry_worst': '0.222', 'fractal_dimension_worst': '0.06033'}
{'id': '8911230', 'diagnosis': 'B', 'radius_mean': '11.33', 'texture_mean': '14.16', 'perimeter_mean': '71.79', 'area_mean': '396.6', 'smoothness_mean': '0.09379', 'compactness_mean': '0.03872', 'concavity_mean': '0.001487', 'concave points_mean': '0.003333', 'symmetry_mean': '0.1954', 'fractal_dimension_mean': '0.05821', 'radius_se': '0.2375', 'texture_se': '1.28', 'perimeter_se': '1.565', 'area_se': '17.09', 'smoothness_se': '0.008426', 'compactness_se': '0.008998', 'concavity_se': '0.001487', 'concave points_se': '0.003333', 'symmetry_se': '0.02358', 'fractal_dimension_se': '0.001627', 'radius_worst': '12.2', 'texture_worst': '18.99', 'perimeter_worst': '77.37', 'area_worst': '458', 'smoothness_worst': '0.1259', 'compactness_worst': '0.07348', 'concavity_worst': '0.004955', 'concave points_worst': '0.01111', 'symmetry_worst': '0.2758', 'fractal_dimension_worst': '0.06386'}
{'id': '8911670', 'diagnosis': 'M', 'radius_mean': '18.81', 'texture_mean': '19.98', 'perimeter_mean': '120.9', 'area_mean': '1102', 'smoothness_mean': '0.08923', 'compactness_mean': '0.05884', 'concavity_mean': '0.0802', 'concave points_mean': '0.05843', 'symmetry_mean': '0.155', 'fractal_dimension_mean': '0.04996', 'radius_se': '0.3283', 'texture_se': '0.828', 'perimeter_se': '2.363', 'area_se': '36.74', 'smoothness_se': '0.007571', 'compactness_se': '0.01114', 'concavity_se': '0.02623', 'concave points_se': '0.01463', 'symmetry_se': '0.0193', 'fractal_dimension_se': '0.001676', 'radius_worst': '19.96', 'texture_worst': '24.3', 'perimeter_worst': '129', 'area_worst': '1236', 'smoothness_worst': '0.1243', 'compactness_worst': '0.116', 'concavity_worst': '0.221', 'concave points_worst': '0.1294', 'symmetry_worst': '0.2567', 'fractal_dimension_worst': '0.05737'}
{'id': '8911800', 'diagnosis': 'B', 'radius_mean': '13.59', 'texture_mean': '17.84', 'perimeter_mean': '86.24', 'area_mean': '572.3', 'smoothness_mean': '0.07948', 'compactness_mean': '0.04052', 'concavity_mean': '0.01997', 'concave points_mean': '0.01238', 'symmetry_mean': '0.1573', 'fractal_dimension_mean': '0.0552', 'radius_se': '0.258', 'texture_se': '1.166', 'perimeter_se': '1.683', 'area_se': '22.22', 'smoothness_se': '0.003741', 'compactness_se': '0.005274', 'concavity_se': '0.01065', 'concave points_se': '0.005044', 'symmetry_se': '0.01344', 'fractal_dimension_se': '0.001126', 'radius_worst': '15.5', 'texture_worst': '26.1', 'perimeter_worst': '98.91', 'area_worst': '739.1', 'smoothness_worst': '0.105', 'compactness_worst': '0.07622', 'concavity_worst': '0.106', 'concave points_worst': '0.05185', 'symmetry_worst': '0.2335', 'fractal_dimension_worst': '0.06263'}
{'id': '8911834', 'diagnosis': 'B', 'radius_mean': '13.85', 'texture_mean': '15.18', 'perimeter_mean': '88.99', 'area_mean': '587.4', 'smoothness_mean': '0.09516', 'compactness_mean': '0.07688', 'concavity_mean': '0.04479', 'concave points_mean': '0.03711', 'symmetry_mean': '0.211', 'fractal_dimension_mean': '0.05853', 'radius_se': '0.2479', 'texture_se': '0.9195', 'perimeter_se': '1.83', 'area_se': '19.41', 'smoothness_se': '0.004235', 'compactness_se': '0.01541', 'concavity_se': '0.01457', 'concave points_se': '0.01043', 'symmetry_se': '0.01528', 'fractal_dimension_se': '0.001593', 'radius_worst': '14.98', 'texture_worst': '21.74', 'perimeter_worst': '98.37', 'area_worst': '670', 'smoothness_worst': '0.1185', 'compactness_worst': '0.1724', 'concavity_worst': '0.1456', 'concave points_worst': '0.09993', 'symmetry_worst': '0.2955', 'fractal_dimension_worst': '0.06912'}
{'id': '8912049', 'diagnosis': 'M', 'radius_mean': '19.16', 'texture_mean': '26.6', 'perimeter_mean': '126.2', 'area_mean': '1138', 'smoothness_mean': '0.102', 'compactness_mean': '0.1453', 'concavity_mean': '0.1921', 'concave points_mean': '0.09664', 'symmetry_mean': '0.1902', 'fractal_dimension_mean': '0.0622', 'radius_se': '0.6361', 'texture_se': '1.001', 'perimeter_se': '4.321', 'area_se': '69.65', 'smoothness_se': '0.007392', 'compactness_se': '0.02449', 'concavity_se': '0.03988', 'concave points_se': '0.01293', 'symmetry_se': '0.01435', 'fractal_dimension_se': '0.003446', 'radius_worst': '23.72', 'texture_worst': '35.9', 'perimeter_worst': '159.8', 'area_worst': '1724', 'smoothness_worst': '0.1782', 'compactness_worst': '0.3841', 'concavity_worst': '0.5754', 'concave points_worst': '0.1872', 'symmetry_worst': '0.3258', 'fractal_dimension_worst': '0.0972'}
{'id': '8912055', 'diagnosis': 'B', 'radius_mean': '11.74', 'texture_mean': '14.02', 'perimeter_mean': '74.24', 'area_mean': '427.3', 'smoothness_mean': '0.07813', 'compactness_mean': '0.0434', 'concavity_mean': '0.02245', 'concave points_mean': '0.02763', 'symmetry_mean': '0.2101', 'fractal_dimension_mean': '0.06113', 'radius_se': '0.5619', 'texture_se': '1.268', 'perimeter_se': '3.717', 'area_se': '37.83', 'smoothness_se': '0.008034', 'compactness_se': '0.01442', 'concavity_se': '0.01514', 'concave points_se': '0.01846', 'symmetry_se': '0.02921', 'fractal_dimension_se': '0.002005', 'radius_worst': '13.31', 'texture_worst': '18.26', 'perimeter_worst': '84.7', 'area_worst': '533.7', 'smoothness_worst': '0.1036', 'compactness_worst': '0.085', 'concavity_worst': '0.06735', 'concave points_worst': '0.0829', 'symmetry_worst': '0.3101', 'fractal_dimension_worst': '0.06688'}
{'id': '89122', 'diagnosis': 'M', 'radius_mean': '19.4', 'texture_mean': '18.18', 'perimeter_mean': '127.2', 'area_mean': '1145', 'smoothness_mean': '0.1037', 'compactness_mean': '0.1442', 'concavity_mean': '0.1626', 'concave points_mean': '0.09464', 'symmetry_mean': '0.1893', 'fractal_dimension_mean': '0.05892', 'radius_se': '0.4709', 'texture_se': '0.9951', 'perimeter_se': '2.903', 'area_se': '53.16', 'smoothness_se': '0.005654', 'compactness_se': '0.02199', 'concavity_se': '0.03059', 'concave points_se': '0.01499', 'symmetry_se': '0.01623', 'fractal_dimension_se': '0.001965', 'radius_worst': '23.79', 'texture_worst': '28.65', 'perimeter_worst': '152.4', 'area_worst': '1628', 'smoothness_worst': '0.1518', 'compactness_worst': '0.3749', 'concavity_worst': '0.4316', 'concave points_worst': '0.2252', 'symmetry_worst': '0.359', 'fractal_dimension_worst': '0.07787'}
{'id': '8912280', 'diagnosis': 'M', 'radius_mean': '16.24', 'texture_mean': '18.77', 'perimeter_mean': '108.8', 'area_mean': '805.1', 'smoothness_mean': '0.1066', 'compactness_mean': '0.1802', 'concavity_mean': '0.1948', 'concave points_mean': '0.09052', 'symmetry_mean': '0.1876', 'fractal_dimension_mean': '0.06684', 'radius_se': '0.2873', 'texture_se': '0.9173', 'perimeter_se': '2.464', 'area_se': '28.09', 'smoothness_se': '0.004563', 'compactness_se': '0.03481', 'concavity_se': '0.03872', 'concave points_se': '0.01209', 'symmetry_se': '0.01388', 'fractal_dimension_se': '0.004081', 'radius_worst': '18.55', 'texture_worst': '25.09', 'perimeter_worst': '126.9', 'area_worst': '1031', 'smoothness_worst': '0.1365', 'compactness_worst': '0.4706', 'concavity_worst': '0.5026', 'concave points_worst': '0.1732', 'symmetry_worst': '0.277', 'fractal_dimension_worst': '0.1063'}
{'id': '8912284', 'diagnosis': 'B', 'radius_mean': '12.89', 'texture_mean': '15.7', 'perimeter_mean': '84.08', 'area_mean': '516.6', 'smoothness_mean': '0.07818', 'compactness_mean': '0.0958', 'concavity_mean': '0.1115', 'concave points_mean': '0.0339', 'symmetry_mean': '0.1432', 'fractal_dimension_mean': '0.05935', 'radius_se': '0.2913', 'texture_se': '1.389', 'perimeter_se': '2.347', 'area_se': '23.29', 'smoothness_se': '0.006418', 'compactness_se': '0.03961', 'concavity_se': '0.07927', 'concave points_se': '0.01774', 'symmetry_se': '0.01878', 'fractal_dimension_se': '0.003696', 'radius_worst': '13.9', 'texture_worst': '19.69', 'perimeter_worst': '92.12', 'area_worst': '595.6', 'smoothness_worst': '0.09926', 'compactness_worst': '0.2317', 'concavity_worst': '0.3344', 'concave points_worst': '0.1017', 'symmetry_worst': '0.1999', 'fractal_dimension_worst': '0.07127'}
{'id': '8912521', 'diagnosis': 'B', 'radius_mean': '12.58', 'texture_mean': '18.4', 'perimeter_mean': '79.83', 'area_mean': '489', 'smoothness_mean': '0.08393', 'compactness_mean': '0.04216', 'concavity_mean': '0.00186', 'concave points_mean': '0.002924', 'symmetry_mean': '0.1697', 'fractal_dimension_mean': '0.05855', 'radius_se': '0.2719', 'texture_se': '1.35', 'perimeter_se': '1.721', 'area_se': '22.45', 'smoothness_se': '0.006383', 'compactness_se': '0.008008', 'concavity_se': '0.00186', 'concave points_se': '0.002924', 'symmetry_se': '0.02571', 'fractal_dimension_se': '0.002015', 'radius_worst': '13.5', 'texture_worst': '23.08', 'perimeter_worst': '85.56', 'area_worst': '564.1', 'smoothness_worst': '0.1038', 'compactness_worst': '0.06624', 'concavity_worst': '0.005579', 'concave points_worst': '0.008772', 'symmetry_worst': '0.2505', 'fractal_dimension_worst': '0.06431'}
{'id': '8912909', 'diagnosis': 'B', 'radius_mean': '11.94', 'texture_mean': '20.76', 'perimeter_mean': '77.87', 'area_mean': '441', 'smoothness_mean': '0.08605', 'compactness_mean': '0.1011', 'concavity_mean': '0.06574', 'concave points_mean': '0.03791', 'symmetry_mean': '0.1588', 'fractal_dimension_mean': '0.06766', 'radius_se': '0.2742', 'texture_se': '1.39', 'perimeter_se': '3.198', 'area_se': '21.91', 'smoothness_se': '0.006719', 'compactness_se': '0.05156', 'concavity_se': '0.04387', 'concave points_se': '0.01633', 'symmetry_se': '0.01872', 'fractal_dimension_se': '0.008015', 'radius_worst': '13.24', 'texture_worst': '27.29', 'perimeter_worst': '92.2', 'area_worst': '546.1', 'smoothness_worst': '0.1116', 'compactness_worst': '0.2813', 'concavity_worst': '0.2365', 'concave points_worst': '0.1155', 'symmetry_worst': '0.2465', 'fractal_dimension_worst': '0.09981'}
{'id': '8913', 'diagnosis': 'B', 'radius_mean': '12.89', 'texture_mean': '13.12', 'perimeter_mean': '81.89', 'area_mean': '515.9', 'smoothness_mean': '0.06955', 'compactness_mean': '0.03729', 'concavity_mean': '0.0226', 'concave points_mean': '0.01171', 'symmetry_mean': '0.1337', 'fractal_dimension_mean': '0.05581', 'radius_se': '0.1532', 'texture_se': '0.469', 'perimeter_se': '1.115', 'area_se': '12.68', 'smoothness_se': '0.004731', 'compactness_se': '0.01345', 'concavity_se': '0.01652', 'concave points_se': '0.005905', 'symmetry_se': '0.01619', 'fractal_dimension_se': '0.002081', 'radius_worst': '13.62', 'texture_worst': '15.54', 'perimeter_worst': '87.4', 'area_worst': '577', 'smoothness_worst': '0.09616', 'compactness_worst': '0.1147', 'concavity_worst': '0.1186', 'concave points_worst': '0.05366', 'symmetry_worst': '0.2309', 'fractal_dimension_worst': '0.06915'}
{'id': '8913049', 'diagnosis': 'B', 'radius_mean': '11.26', 'texture_mean': '19.96', 'perimeter_mean': '73.72', 'area_mean': '394.1', 'smoothness_mean': '0.0802', 'compactness_mean': '0.1181', 'concavity_mean': '0.09274', 'concave points_mean': '0.05588', 'symmetry_mean': '0.2595', 'fractal_dimension_mean': '0.06233', 'radius_se': '0.4866', 'texture_se': '1.905', 'perimeter_se': '2.877', 'area_se': '34.68', 'smoothness_se': '0.01574', 'compactness_se': '0.08262', 'concavity_se': '0.08099', 'concave points_se': '0.03487', 'symmetry_se': '0.03418', 'fractal_dimension_se': '0.006517', 'radius_worst': '11.86', 'texture_worst': '22.33', 'perimeter_worst': '78.27', 'area_worst': '437.6', 'smoothness_worst': '0.1028', 'compactness_worst': '0.1843', 'concavity_worst': '0.1546', 'concave points_worst': '0.09314', 'symmetry_worst': '0.2955', 'fractal_dimension_worst': '0.07009'}
{'id': '89143601', 'diagnosis': 'B', 'radius_mean': '11.37', 'texture_mean': '18.89', 'perimeter_mean': '72.17', 'area_mean': '396', 'smoothness_mean': '0.08713', 'compactness_mean': '0.05008', 'concavity_mean': '0.02399', 'concave points_mean': '0.02173', 'symmetry_mean': '0.2013', 'fractal_dimension_mean': '0.05955', 'radius_se': '0.2656', 'texture_se': '1.974', 'perimeter_se': '1.954', 'area_se': '17.49', 'smoothness_se': '0.006538', 'compactness_se': '0.01395', 'concavity_se': '0.01376', 'concave points_se': '0.009924', 'symmetry_se': '0.03416', 'fractal_dimension_se': '0.002928', 'radius_worst': '12.36', 'texture_worst': '26.14', 'perimeter_worst': '79.29', 'area_worst': '459.3', 'smoothness_worst': '0.1118', 'compactness_worst': '0.09708', 'concavity_worst': '0.07529', 'concave points_worst': '0.06203', 'symmetry_worst': '0.3267', 'fractal_dimension_worst': '0.06994'}
{'id': '89143602', 'diagnosis': 'B', 'radius_mean': '14.41', 'texture_mean': '19.73', 'perimeter_mean': '96.03', 'area_mean': '651', 'smoothness_mean': '0.08757', 'compactness_mean': '0.1676', 'concavity_mean': '0.1362', 'concave points_mean': '0.06602', 'symmetry_mean': '0.1714', 'fractal_dimension_mean': '0.07192', 'radius_se': '0.8811', 'texture_se': '1.77', 'perimeter_se': '4.36', 'area_se': '77.11', 'smoothness_se': '0.007762', 'compactness_se': '0.1064', 'concavity_se': '0.0996', 'concave points_se': '0.02771', 'symmetry_se': '0.04077', 'fractal_dimension_se': '0.02286', 'radius_worst': '15.77', 'texture_worst': '22.13', 'perimeter_worst': '101.7', 'area_worst': '767.3', 'smoothness_worst': '0.09983', 'compactness_worst': '0.2472', 'concavity_worst': '0.222', 'concave points_worst': '0.1021', 'symmetry_worst': '0.2272', 'fractal_dimension_worst': '0.08799'}
{'id': '8915', 'diagnosis': 'B', 'radius_mean': '14.96', 'texture_mean': '19.1', 'perimeter_mean': '97.03', 'area_mean': '687.3', 'smoothness_mean': '0.08992', 'compactness_mean': '0.09823', 'concavity_mean': '0.0594', 'concave points_mean': '0.04819', 'symmetry_mean': '0.1879', 'fractal_dimension_mean': '0.05852', 'radius_se': '0.2877', 'texture_se': '0.948', 'perimeter_se': '2.171', 'area_se': '24.87', 'smoothness_se': '0.005332', 'compactness_se': '0.02115', 'concavity_se': '0.01536', 'concave points_se': '0.01187', 'symmetry_se': '0.01522', 'fractal_dimension_se': '0.002815', 'radius_worst': '16.25', 'texture_worst': '26.19', 'perimeter_worst': '109.1', 'area_worst': '809.8', 'smoothness_worst': '0.1313', 'compactness_worst': '0.303', 'concavity_worst': '0.1804', 'concave points_worst': '0.1489', 'symmetry_worst': '0.2962', 'fractal_dimension_worst': '0.08472'}
{'id': '891670', 'diagnosis': 'B', 'radius_mean': '12.95', 'texture_mean': '16.02', 'perimeter_mean': '83.14', 'area_mean': '513.7', 'smoothness_mean': '0.1005', 'compactness_mean': '0.07943', 'concavity_mean': '0.06155', 'concave points_mean': '0.0337', 'symmetry_mean': '0.173', 'fractal_dimension_mean': '0.0647', 'radius_se': '0.2094', 'texture_se': '0.7636', 'perimeter_se': '1.231', 'area_se': '17.67', 'smoothness_se': '0.008725', 'compactness_se': '0.02003', 'concavity_se': '0.02335', 'concave points_se': '0.01132', 'symmetry_se': '0.02625', 'fractal_dimension_se': '0.004726', 'radius_worst': '13.74', 'texture_worst': '19.93', 'perimeter_worst': '88.81', 'area_worst': '585.4', 'smoothness_worst': '0.1483', 'compactness_worst': '0.2068', 'concavity_worst': '0.2241', 'concave points_worst': '0.1056', 'symmetry_worst': '0.338', 'fractal_dimension_worst': '0.09584'}
{'id': '891703', 'diagnosis': 'B', 'radius_mean': '11.85', 'texture_mean': '17.46', 'perimeter_mean': '75.54', 'area_mean': '432.7', 'smoothness_mean': '0.08372', 'compactness_mean': '0.05642', 'concavity_mean': '0.02688', 'concave points_mean': '0.0228', 'symmetry_mean': '0.1875', 'fractal_dimension_mean': '0.05715', 'radius_se': '0.207', 'texture_se': '1.238', 'perimeter_se': '1.234', 'area_se': '13.88', 'smoothness_se': '0.007595', 'compactness_se': '0.015', 'concavity_se': '0.01412', 'concave points_se': '0.008578', 'symmetry_se': '0.01792', 'fractal_dimension_se': '0.001784', 'radius_worst': '13.06', 'texture_worst': '25.75', 'perimeter_worst': '84.35', 'area_worst': '517.8', 'smoothness_worst': '0.1369', 'compactness_worst': '0.1758', 'concavity_worst': '0.1316', 'concave points_worst': '0.0914', 'symmetry_worst': '0.3101', 'fractal_dimension_worst': '0.07007'}
{'id': '891716', 'diagnosis': 'B', 'radius_mean': '12.72', 'texture_mean': '13.78', 'perimeter_mean': '81.78', 'area_mean': '492.1', 'smoothness_mean': '0.09667', 'compactness_mean': '0.08393', 'concavity_mean': '0.01288', 'concave points_mean': '0.01924', 'symmetry_mean': '0.1638', 'fractal_dimension_mean': '0.061', 'radius_se': '0.1807', 'texture_se': '0.6931', 'perimeter_se': '1.34', 'area_se': '13.38', 'smoothness_se': '0.006064', 'compactness_se': '0.0118', 'concavity_se': '0.006564', 'concave points_se': '0.007978', 'symmetry_se': '0.01374', 'fractal_dimension_se': '0.001392', 'radius_worst': '13.5', 'texture_worst': '17.48', 'perimeter_worst': '88.54', 'area_worst': '553.7', 'smoothness_worst': '0.1298', 'compactness_worst': '0.1472', 'concavity_worst': '0.05233', 'concave points_worst': '0.06343', 'symmetry_worst': '0.2369', 'fractal_dimension_worst': '0.06922'}
{'id': '891923', 'diagnosis': 'B', 'radius_mean': '13.77', 'texture_mean': '13.27', 'perimeter_mean': '88.06', 'area_mean': '582.7', 'smoothness_mean': '0.09198', 'compactness_mean': '0.06221', 'concavity_mean': '0.01063', 'concave points_mean': '0.01917', 'symmetry_mean': '0.1592', 'fractal_dimension_mean': '0.05912', 'radius_se': '0.2191', 'texture_se': '0.6946', 'perimeter_se': '1.479', 'area_se': '17.74', 'smoothness_se': '0.004348', 'compactness_se': '0.008153', 'concavity_se': '0.004272', 'concave points_se': '0.006829', 'symmetry_se': '0.02154', 'fractal_dimension_se': '0.001802', 'radius_worst': '14.67', 'texture_worst': '16.93', 'perimeter_worst': '94.17', 'area_worst': '661.1', 'smoothness_worst': '0.117', 'compactness_worst': '0.1072', 'concavity_worst': '0.03732', 'concave points_worst': '0.05802', 'symmetry_worst': '0.2823', 'fractal_dimension_worst': '0.06794'}
{'id': '891936', 'diagnosis': 'B', 'radius_mean': '10.91', 'texture_mean': '12.35', 'perimeter_mean': '69.14', 'area_mean': '363.7', 'smoothness_mean': '0.08518', 'compactness_mean': '0.04721', 'concavity_mean': '0.01236', 'concave points_mean': '0.01369', 'symmetry_mean': '0.1449', 'fractal_dimension_mean': '0.06031', 'radius_se': '0.1753', 'texture_se': '1.027', 'perimeter_se': '1.267', 'area_se': '11.09', 'smoothness_se': '0.003478', 'compactness_se': '0.01221', 'concavity_se': '0.01072', 'concave points_se': '0.009393', 'symmetry_se': '0.02941', 'fractal_dimension_se': '0.003428', 'radius_worst': '11.37', 'texture_worst': '14.82', 'perimeter_worst': '72.42', 'area_worst': '392.2', 'smoothness_worst': '0.09312', 'compactness_worst': '0.07506', 'concavity_worst': '0.02884', 'concave points_worst': '0.03194', 'symmetry_worst': '0.2143', 'fractal_dimension_worst': '0.06643'}
{'id': '892189', 'diagnosis': 'M', 'radius_mean': '11.76', 'texture_mean': '18.14', 'perimeter_mean': '75', 'area_mean': '431.1', 'smoothness_mean': '0.09968', 'compactness_mean': '0.05914', 'concavity_mean': '0.02685', 'concave points_mean': '0.03515', 'symmetry_mean': '0.1619', 'fractal_dimension_mean': '0.06287', 'radius_se': '0.645', 'texture_se': '2.105', 'perimeter_se': '4.138', 'area_se': '49.11', 'smoothness_se': '0.005596', 'compactness_se': '0.01005', 'concavity_se': '0.01272', 'concave points_se': '0.01432', 'symmetry_se': '0.01575', 'fractal_dimension_se': '0.002758', 'radius_worst': '13.36', 'texture_worst': '23.39', 'perimeter_worst': '85.1', 'area_worst': '553.6', 'smoothness_worst': '0.1137', 'compactness_worst': '0.07974', 'concavity_worst': '0.0612', 'concave points_worst': '0.0716', 'symmetry_worst': '0.1978', 'fractal_dimension_worst': '0.06915'}
{'id': '892214', 'diagnosis': 'B', 'radius_mean': '14.26', 'texture_mean': '18.17', 'perimeter_mean': '91.22', 'area_mean': '633.1', 'smoothness_mean': '0.06576', 'compactness_mean': '0.0522', 'concavity_mean': '0.02475', 'concave points_mean': '0.01374', 'symmetry_mean': '0.1635', 'fractal_dimension_mean': '0.05586', 'radius_se': '0.23', 'texture_se': '0.669', 'perimeter_se': '1.661', 'area_se': '20.56', 'smoothness_se': '0.003169', 'compactness_se': '0.01377', 'concavity_se': '0.01079', 'concave points_se': '0.005243', 'symmetry_se': '0.01103', 'fractal_dimension_se': '0.001957', 'radius_worst': '16.22', 'texture_worst': '25.26', 'perimeter_worst': '105.8', 'area_worst': '819.7', 'smoothness_worst': '0.09445', 'compactness_worst': '0.2167', 'concavity_worst': '0.1565', 'concave points_worst': '0.0753', 'symmetry_worst': '0.2636', 'fractal_dimension_worst': '0.07676'}
{'id': '892399', 'diagnosis': 'B', 'radius_mean': '10.51', 'texture_mean': '23.09', 'perimeter_mean': '66.85', 'area_mean': '334.2', 'smoothness_mean': '0.1015', 'compactness_mean': '0.06797', 'concavity_mean': '0.02495', 'concave points_mean': '0.01875', 'symmetry_mean': '0.1695', 'fractal_dimension_mean': '0.06556', 'radius_se': '0.2868', 'texture_se': '1.143', 'perimeter_se': '2.289', 'area_se': '20.56', 'smoothness_se': '0.01017', 'compactness_se': '0.01443', 'concavity_se': '0.01861', 'concave points_se': '0.0125', 'symmetry_se': '0.03464', 'fractal_dimension_se': '0.001971', 'radius_worst': '10.93', 'texture_worst': '24.22', 'perimeter_worst': '70.1', 'area_worst': '362.7', 'smoothness_worst': '0.1143', 'compactness_worst': '0.08614', 'concavity_worst': '0.04158', 'concave points_worst': '0.03125', 'symmetry_worst': '0.2227', 'fractal_dimension_worst': '0.06777'}
{'id': '892438', 'diagnosis': 'M', 'radius_mean': '19.53', 'texture_mean': '18.9', 'perimeter_mean': '129.5', 'area_mean': '1217', 'smoothness_mean': '0.115', 'compactness_mean': '0.1642', 'concavity_mean': '0.2197', 'concave points_mean': '0.1062', 'symmetry_mean': '0.1792', 'fractal_dimension_mean': '0.06552', 'radius_se': '1.111', 'texture_se': '1.161', 'perimeter_se': '7.237', 'area_se': '133', 'smoothness_se': '0.006056', 'compactness_se': '0.03203', 'concavity_se': '0.05638', 'concave points_se': '0.01733', 'symmetry_se': '0.01884', 'fractal_dimension_se': '0.004787', 'radius_worst': '25.93', 'texture_worst': '26.24', 'perimeter_worst': '171.1', 'area_worst': '2053', 'smoothness_worst': '0.1495', 'compactness_worst': '0.4116', 'concavity_worst': '0.6121', 'concave points_worst': '0.198', 'symmetry_worst': '0.2968', 'fractal_dimension_worst': '0.09929'}
{'id': '892604', 'diagnosis': 'B', 'radius_mean': '12.46', 'texture_mean': '19.89', 'perimeter_mean': '80.43', 'area_mean': '471.3', 'smoothness_mean': '0.08451', 'compactness_mean': '0.1014', 'concavity_mean': '0.0683', 'concave points_mean': '0.03099', 'symmetry_mean': '0.1781', 'fractal_dimension_mean': '0.06249', 'radius_se': '0.3642', 'texture_se': '1.04', 'perimeter_se': '2.579', 'area_se': '28.32', 'smoothness_se': '0.00653', 'compactness_se': '0.03369', 'concavity_se': '0.04712', 'concave points_se': '0.01403', 'symmetry_se': '0.0274', 'fractal_dimension_se': '0.004651', 'radius_worst': '13.46', 'texture_worst': '23.07', 'perimeter_worst': '88.13', 'area_worst': '551.3', 'smoothness_worst': '0.105', 'compactness_worst': '0.2158', 'concavity_worst': '0.1904', 'concave points_worst': '0.07625', 'symmetry_worst': '0.2685', 'fractal_dimension_worst': '0.07764'}
{'id': '89263202', 'diagnosis': 'M', 'radius_mean': '20.09', 'texture_mean': '23.86', 'perimeter_mean': '134.7', 'area_mean': '1247', 'smoothness_mean': '0.108', 'compactness_mean': '0.1838', 'concavity_mean': '0.2283', 'concave points_mean': '0.128', 'symmetry_mean': '0.2249', 'fractal_dimension_mean': '0.07469', 'radius_se': '1.072', 'texture_se': '1.743', 'perimeter_se': '7.804', 'area_se': '130.8', 'smoothness_se': '0.007964', 'compactness_se': '0.04732', 'concavity_se': '0.07649', 'concave points_se': '0.01936', 'symmetry_se': '0.02736', 'fractal_dimension_se': '0.005928', 'radius_worst': '23.68', 'texture_worst': '29.43', 'perimeter_worst': '158.8', 'area_worst': '1696', 'smoothness_worst': '0.1347', 'compactness_worst': '0.3391', 'concavity_worst': '0.4932', 'concave points_worst': '0.1923', 'symmetry_worst': '0.3294', 'fractal_dimension_worst': '0.09469'}
{'id': '892657', 'diagnosis': 'B', 'radius_mean': '10.49', 'texture_mean': '18.61', 'perimeter_mean': '66.86', 'area_mean': '334.3', 'smoothness_mean': '0.1068', 'compactness_mean': '0.06678', 'concavity_mean': '0.02297', 'concave points_mean': '0.0178', 'symmetry_mean': '0.1482', 'fractal_dimension_mean': '0.066', 'radius_se': '0.1485', 'texture_se': '1.563', 'perimeter_se': '1.035', 'area_se': '10.08', 'smoothness_se': '0.008875', 'compactness_se': '0.009362', 'concavity_se': '0.01808', 'concave points_se': '0.009199', 'symmetry_se': '0.01791', 'fractal_dimension_se': '0.003317', 'radius_worst': '11.06', 'texture_worst': '24.54', 'perimeter_worst': '70.76', 'area_worst': '375.4', 'smoothness_worst': '0.1413', 'compactness_worst': '0.1044', 'concavity_worst': '0.08423', 'concave points_worst': '0.06528', 'symmetry_worst': '0.2213', 'fractal_dimension_worst': '0.07842'}
{'id': '89296', 'diagnosis': 'B', 'radius_mean': '11.46', 'texture_mean': '18.16', 'perimeter_mean': '73.59', 'area_mean': '403.1', 'smoothness_mean': '0.08853', 'compactness_mean': '0.07694', 'concavity_mean': '0.03344', 'concave points_mean': '0.01502', 'symmetry_mean': '0.1411', 'fractal_dimension_mean': '0.06243', 'radius_se': '0.3278', 'texture_se': '1.059', 'perimeter_se': '2.475', 'area_se': '22.93', 'smoothness_se': '0.006652', 'compactness_se': '0.02652', 'concavity_se': '0.02221', 'concave points_se': '0.007807', 'symmetry_se': '0.01894', 'fractal_dimension_se': '0.003411', 'radius_worst': '12.68', 'texture_worst': '21.61', 'perimeter_worst': '82.69', 'area_worst': '489.8', 'smoothness_worst': '0.1144', 'compactness_worst': '0.1789', 'concavity_worst': '0.1226', 'concave points_worst': '0.05509', 'symmetry_worst': '0.2208', 'fractal_dimension_worst': '0.07638'}
{'id': '893061', 'diagnosis': 'B', 'radius_mean': '11.6', 'texture_mean': '24.49', 'perimeter_mean': '74.23', 'area_mean': '417.2', 'smoothness_mean': '0.07474', 'compactness_mean': '0.05688', 'concavity_mean': '0.01974', 'concave points_mean': '0.01313', 'symmetry_mean': '0.1935', 'fractal_dimension_mean': '0.05878', 'radius_se': '0.2512', 'texture_se': '1.786', 'perimeter_se': '1.961', 'area_se': '18.21', 'smoothness_se': '0.006122', 'compactness_se': '0.02337', 'concavity_se': '0.01596', 'concave points_se': '0.006998', 'symmetry_se': '0.03194', 'fractal_dimension_se': '0.002211', 'radius_worst': '12.44', 'texture_worst': '31.62', 'perimeter_worst': '81.39', 'area_worst': '476.5', 'smoothness_worst': '0.09545', 'compactness_worst': '0.1361', 'concavity_worst': '0.07239', 'concave points_worst': '0.04815', 'symmetry_worst': '0.3244', 'fractal_dimension_worst': '0.06745'}
{'id': '89344', 'diagnosis': 'B', 'radius_mean': '13.2', 'texture_mean': '15.82', 'perimeter_mean': '84.07', 'area_mean': '537.3', 'smoothness_mean': '0.08511', 'compactness_mean': '0.05251', 'concavity_mean': '0.001461', 'concave points_mean': '0.003261', 'symmetry_mean': '0.1632', 'fractal_dimension_mean': '0.05894', 'radius_se': '0.1903', 'texture_se': '0.5735', 'perimeter_se': '1.204', 'area_se': '15.5', 'smoothness_se': '0.003632', 'compactness_se': '0.007861', 'concavity_se': '0.001128', 'concave points_se': '0.002386', 'symmetry_se': '0.01344', 'fractal_dimension_se': '0.002585', 'radius_worst': '14.41', 'texture_worst': '20.45', 'perimeter_worst': '92', 'area_worst': '636.9', 'smoothness_worst': '0.1128', 'compactness_worst': '0.1346', 'concavity_worst': '0.0112', 'concave points_worst': '0.025', 'symmetry_worst': '0.2651', 'fractal_dimension_worst': '0.08385'}
{'id': '89346', 'diagnosis': 'B', 'radius_mean': '9', 'texture_mean': '14.4', 'perimeter_mean': '56.36', 'area_mean': '246.3', 'smoothness_mean': '0.07005', 'compactness_mean': '0.03116', 'concavity_mean': '0.003681', 'concave points_mean': '0.003472', 'symmetry_mean': '0.1788', 'fractal_dimension_mean': '0.06833', 'radius_se': '0.1746', 'texture_se': '1.305', 'perimeter_se': '1.144', 'area_se': '9.789', 'smoothness_se': '0.007389', 'compactness_se': '0.004883', 'concavity_se': '0.003681', 'concave points_se': '0.003472', 'symmetry_se': '0.02701', 'fractal_dimension_se': '0.002153', 'radius_worst': '9.699', 'texture_worst': '20.07', 'perimeter_worst': '60.9', 'area_worst': '285.5', 'smoothness_worst': '0.09861', 'compactness_worst': '0.05232', 'concavity_worst': '0.01472', 'concave points_worst': '0.01389', 'symmetry_worst': '0.2991', 'fractal_dimension_worst': '0.07804'}
{'id': '893526', 'diagnosis': 'B', 'radius_mean': '13.5', 'texture_mean': '12.71', 'perimeter_mean': '85.69', 'area_mean': '566.2', 'smoothness_mean': '0.07376', 'compactness_mean': '0.03614', 'concavity_mean': '0.002758', 'concave points_mean': '0.004419', 'symmetry_mean': '0.1365', 'fractal_dimension_mean': '0.05335', 'radius_se': '0.2244', 'texture_se': '0.6864', 'perimeter_se': '1.509', 'area_se': '20.39', 'smoothness_se': '0.003338', 'compactness_se': '0.003746', 'concavity_se': '0.00203', 'concave points_se': '0.003242', 'symmetry_se': '0.0148', 'fractal_dimension_se': '0.001566', 'radius_worst': '14.97', 'texture_worst': '16.94', 'perimeter_worst': '95.48', 'area_worst': '698.7', 'smoothness_worst': '0.09023', 'compactness_worst': '0.05836', 'concavity_worst': '0.01379', 'concave points_worst': '0.0221', 'symmetry_worst': '0.2267', 'fractal_dimension_worst': '0.06192'}
{'id': '893548', 'diagnosis': 'B', 'radius_mean': '13.05', 'texture_mean': '13.84', 'perimeter_mean': '82.71', 'area_mean': '530.6', 'smoothness_mean': '0.08352', 'compactness_mean': '0.03735', 'concavity_mean': '0.004559', 'concave points_mean': '0.008829', 'symmetry_mean': '0.1453', 'fractal_dimension_mean': '0.05518', 'radius_se': '0.3975', 'texture_se': '0.8285', 'perimeter_se': '2.567', 'area_se': '33.01', 'smoothness_se': '0.004148', 'compactness_se': '0.004711', 'concavity_se': '0.002831', 'concave points_se': '0.004821', 'symmetry_se': '0.01422', 'fractal_dimension_se': '0.002273', 'radius_worst': '14.73', 'texture_worst': '17.4', 'perimeter_worst': '93.96', 'area_worst': '672.4', 'smoothness_worst': '0.1016', 'compactness_worst': '0.05847', 'concavity_worst': '0.01824', 'concave points_worst': '0.03532', 'symmetry_worst': '0.2107', 'fractal_dimension_worst': '0.0658'}
{'id': '893783', 'diagnosis': 'B', 'radius_mean': '11.7', 'texture_mean': '19.11', 'perimeter_mean': '74.33', 'area_mean': '418.7', 'smoothness_mean': '0.08814', 'compactness_mean': '0.05253', 'concavity_mean': '0.01583', 'concave points_mean': '0.01148', 'symmetry_mean': '0.1936', 'fractal_dimension_mean': '0.06128', 'radius_se': '0.1601', 'texture_se': '1.43', 'perimeter_se': '1.109', 'area_se': '11.28', 'smoothness_se': '0.006064', 'compactness_se': '0.00911', 'concavity_se': '0.01042', 'concave points_se': '0.007638', 'symmetry_se': '0.02349', 'fractal_dimension_se': '0.001661', 'radius_worst': '12.61', 'texture_worst': '26.55', 'perimeter_worst': '80.92', 'area_worst': '483.1', 'smoothness_worst': '0.1223', 'compactness_worst': '0.1087', 'concavity_worst': '0.07915', 'concave points_worst': '0.05741', 'symmetry_worst': '0.3487', 'fractal_dimension_worst': '0.06958'}
{'id': '89382601', 'diagnosis': 'B', 'radius_mean': '14.61', 'texture_mean': '15.69', 'perimeter_mean': '92.68', 'area_mean': '664.9', 'smoothness_mean': '0.07618', 'compactness_mean': '0.03515', 'concavity_mean': '0.01447', 'concave points_mean': '0.01877', 'symmetry_mean': '0.1632', 'fractal_dimension_mean': '0.05255', 'radius_se': '0.316', 'texture_se': '0.9115', 'perimeter_se': '1.954', 'area_se': '28.9', 'smoothness_se': '0.005031', 'compactness_se': '0.006021', 'concavity_se': '0.005325', 'concave points_se': '0.006324', 'symmetry_se': '0.01494', 'fractal_dimension_se': '0.0008948', 'radius_worst': '16.46', 'texture_worst': '21.75', 'perimeter_worst': '103.7', 'area_worst': '840.8', 'smoothness_worst': '0.1011', 'compactness_worst': '0.07087', 'concavity_worst': '0.04746', 'concave points_worst': '0.05813', 'symmetry_worst': '0.253', 'fractal_dimension_worst': '0.05695'}
{'id': '89382602', 'diagnosis': 'B', 'radius_mean': '12.76', 'texture_mean': '13.37', 'perimeter_mean': '82.29', 'area_mean': '504.1', 'smoothness_mean': '0.08794', 'compactness_mean': '0.07948', 'concavity_mean': '0.04052', 'concave points_mean': '0.02548', 'symmetry_mean': '0.1601', 'fractal_dimension_mean': '0.0614', 'radius_se': '0.3265', 'texture_se': '0.6594', 'perimeter_se': '2.346', 'area_se': '25.18', 'smoothness_se': '0.006494', 'compactness_se': '0.02768', 'concavity_se': '0.03137', 'concave points_se': '0.01069', 'symmetry_se': '0.01731', 'fractal_dimension_se': '0.004392', 'radius_worst': '14.19', 'texture_worst': '16.4', 'perimeter_worst': '92.04', 'area_worst': '618.8', 'smoothness_worst': '0.1194', 'compactness_worst': '0.2208', 'concavity_worst': '0.1769', 'concave points_worst': '0.08411', 'symmetry_worst': '0.2564', 'fractal_dimension_worst': '0.08253'}
{'id': '893988', 'diagnosis': 'B', 'radius_mean': '11.54', 'texture_mean': '10.72', 'perimeter_mean': '73.73', 'area_mean': '409.1', 'smoothness_mean': '0.08597', 'compactness_mean': '0.05969', 'concavity_mean': '0.01367', 'concave points_mean': '0.008907', 'symmetry_mean': '0.1833', 'fractal_dimension_mean': '0.061', 'radius_se': '0.1312', 'texture_se': '0.3602', 'perimeter_se': '1.107', 'area_se': '9.438', 'smoothness_se': '0.004124', 'compactness_se': '0.0134', 'concavity_se': '0.01003', 'concave points_se': '0.004667', 'symmetry_se': '0.02032', 'fractal_dimension_se': '0.001952', 'radius_worst': '12.34', 'texture_worst': '12.87', 'perimeter_worst': '81.23', 'area_worst': '467.8', 'smoothness_worst': '0.1092', 'compactness_worst': '0.1626', 'concavity_worst': '0.08324', 'concave points_worst': '0.04715', 'symmetry_worst': '0.339', 'fractal_dimension_worst': '0.07434'}
{'id': '894047', 'diagnosis': 'B', 'radius_mean': '8.597', 'texture_mean': '18.6', 'perimeter_mean': '54.09', 'area_mean': '221.2', 'smoothness_mean': '0.1074', 'compactness_mean': '0.05847', 'concavity_mean': '0', 'concave points_mean': '0', 'symmetry_mean': '0.2163', 'fractal_dimension_mean': '0.07359', 'radius_se': '0.3368', 'texture_se': '2.777', 'perimeter_se': '2.222', 'area_se': '17.81', 'smoothness_se': '0.02075', 'compactness_se': '0.01403', 'concavity_se': '0', 'concave points_se': '0', 'symmetry_se': '0.06146', 'fractal_dimension_se': '0.00682', 'radius_worst': '8.952', 'texture_worst': '22.44', 'perimeter_worst': '56.65', 'area_worst': '240.1', 'smoothness_worst': '0.1347', 'compactness_worst': '0.07767', 'concavity_worst': '0', 'concave points_worst': '0', 'symmetry_worst': '0.3142', 'fractal_dimension_worst': '0.08116'}
{'id': '894089', 'diagnosis': 'B', 'radius_mean': '12.49', 'texture_mean': '16.85', 'perimeter_mean': '79.19', 'area_mean': '481.6', 'smoothness_mean': '0.08511', 'compactness_mean': '0.03834', 'concavity_mean': '0.004473', 'concave points_mean': '0.006423', 'symmetry_mean': '0.1215', 'fractal_dimension_mean': '0.05673', 'radius_se': '0.1716', 'texture_se': '0.7151', 'perimeter_se': '1.047', 'area_se': '12.69', 'smoothness_se': '0.004928', 'compactness_se': '0.003012', 'concavity_se': '0.00262', 'concave points_se': '0.00339', 'symmetry_se': '0.01393', 'fractal_dimension_se': '0.001344', 'radius_worst': '13.34', 'texture_worst': '19.71', 'perimeter_worst': '84.48', 'area_worst': '544.2', 'smoothness_worst': '0.1104', 'compactness_worst': '0.04953', 'concavity_worst': '0.01938', 'concave points_worst': '0.02784', 'symmetry_worst': '0.1917', 'fractal_dimension_worst': '0.06174'}
{'id': '894090', 'diagnosis': 'B', 'radius_mean': '12.18', 'texture_mean': '14.08', 'perimeter_mean': '77.25', 'area_mean': '461.4', 'smoothness_mean': '0.07734', 'compactness_mean': '0.03212', 'concavity_mean': '0.01123', 'concave points_mean': '0.005051', 'symmetry_mean': '0.1673', 'fractal_dimension_mean': '0.05649', 'radius_se': '0.2113', 'texture_se': '0.5996', 'perimeter_se': '1.438', 'area_se': '15.82', 'smoothness_se': '0.005343', 'compactness_se': '0.005767', 'concavity_se': '0.01123', 'concave points_se': '0.005051', 'symmetry_se': '0.01977', 'fractal_dimension_se': '0.0009502', 'radius_worst': '12.85', 'texture_worst': '16.47', 'perimeter_worst': '81.6', 'area_worst': '513.1', 'smoothness_worst': '0.1001', 'compactness_worst': '0.05332', 'concavity_worst': '0.04116', 'concave points_worst': '0.01852', 'symmetry_worst': '0.2293', 'fractal_dimension_worst': '0.06037'}
{'id': '894326', 'diagnosis': 'M', 'radius_mean': '18.22', 'texture_mean': '18.87', 'perimeter_mean': '118.7', 'area_mean': '1027', 'smoothness_mean': '0.09746', 'compactness_mean': '0.1117', 'concavity_mean': '0.113', 'concave points_mean': '0.0795', 'symmetry_mean': '0.1807', 'fractal_dimension_mean': '0.05664', 'radius_se': '0.4041', 'texture_se': '0.5503', 'perimeter_se': '2.547', 'area_se': '48.9', 'smoothness_se': '0.004821', 'compactness_se': '0.01659', 'concavity_se': '0.02408', 'concave points_se': '0.01143', 'symmetry_se': '0.01275', 'fractal_dimension_se': '0.002451', 'radius_worst': '21.84', 'texture_worst': '25', 'perimeter_worst': '140.9', 'area_worst': '1485', 'smoothness_worst': '0.1434', 'compactness_worst': '0.2763', 'concavity_worst': '0.3853', 'concave points_worst': '0.1776', 'symmetry_worst': '0.2812', 'fractal_dimension_worst': '0.08198'}
{'id': '894329', 'diagnosis': 'B', 'radius_mean': '9.042', 'texture_mean': '18.9', 'perimeter_mean': '60.07', 'area_mean': '244.5', 'smoothness_mean': '0.09968', 'compactness_mean': '0.1972', 'concavity_mean': '0.1975', 'concave points_mean': '0.04908', 'symmetry_mean': '0.233', 'fractal_dimension_mean': '0.08743', 'radius_se': '0.4653', 'texture_se': '1.911', 'perimeter_se': '3.769', 'area_se': '24.2', 'smoothness_se': '0.009845', 'compactness_se': '0.0659', 'concavity_se': '0.1027', 'concave points_se': '0.02527', 'symmetry_se': '0.03491', 'fractal_dimension_se': '0.007877', 'radius_worst': '10.06', 'texture_worst': '23.4', 'perimeter_worst': '68.62', 'area_worst': '297.1', 'smoothness_worst': '0.1221', 'compactness_worst': '0.3748', 'concavity_worst': '0.4609', 'concave points_worst': '0.1145', 'symmetry_worst': '0.3135', 'fractal_dimension_worst': '0.1055'}
{'id': '894335', 'diagnosis': 'B', 'radius_mean': '12.43', 'texture_mean': '17', 'perimeter_mean': '78.6', 'area_mean': '477.3', 'smoothness_mean': '0.07557', 'compactness_mean': '0.03454', 'concavity_mean': '0.01342', 'concave points_mean': '0.01699', 'symmetry_mean': '0.1472', 'fractal_dimension_mean': '0.05561', 'radius_se': '0.3778', 'texture_se': '2.2', 'perimeter_se': '2.487', 'area_se': '31.16', 'smoothness_se': '0.007357', 'compactness_se': '0.01079', 'concavity_se': '0.009959', 'concave points_se': '0.0112', 'symmetry_se': '0.03433', 'fractal_dimension_se': '0.002961', 'radius_worst': '12.9', 'texture_worst': '20.21', 'perimeter_worst': '81.76', 'area_worst': '515.9', 'smoothness_worst': '0.08409', 'compactness_worst': '0.04712', 'concavity_worst': '0.02237', 'concave points_worst': '0.02832', 'symmetry_worst': '0.1901', 'fractal_dimension_worst': '0.05932'}
{'id': '894604', 'diagnosis': 'B', 'radius_mean': '10.25', 'texture_mean': '16.18', 'perimeter_mean': '66.52', 'area_mean': '324.2', 'smoothness_mean': '0.1061', 'compactness_mean': '0.1111', 'concavity_mean': '0.06726', 'concave points_mean': '0.03965', 'symmetry_mean': '0.1743', 'fractal_dimension_mean': '0.07279', 'radius_se': '0.3677', 'texture_se': '1.471', 'perimeter_se': '1.597', 'area_se': '22.68', 'smoothness_se': '0.01049', 'compactness_se': '0.04265', 'concavity_se': '0.04004', 'concave points_se': '0.01544', 'symmetry_se': '0.02719', 'fractal_dimension_se': '0.007596', 'radius_worst': '11.28', 'texture_worst': '20.61', 'perimeter_worst': '71.53', 'area_worst': '390.4', 'smoothness_worst': '0.1402', 'compactness_worst': '0.236', 'concavity_worst': '0.1898', 'concave points_worst': '0.09744', 'symmetry_worst': '0.2608', 'fractal_dimension_worst': '0.09702'}
{'id': '894618', 'diagnosis': 'M', 'radius_mean': '20.16', 'texture_mean': '19.66', 'perimeter_mean': '131.1', 'area_mean': '1274', 'smoothness_mean': '0.0802', 'compactness_mean': '0.08564', 'concavity_mean': '0.1155', 'concave points_mean': '0.07726', 'symmetry_mean': '0.1928', 'fractal_dimension_mean': '0.05096', 'radius_se': '0.5925', 'texture_se': '0.6863', 'perimeter_se': '3.868', 'area_se': '74.85', 'smoothness_se': '0.004536', 'compactness_se': '0.01376', 'concavity_se': '0.02645', 'concave points_se': '0.01247', 'symmetry_se': '0.02193', 'fractal_dimension_se': '0.001589', 'radius_worst': '23.06', 'texture_worst': '23.03', 'perimeter_worst': '150.2', 'area_worst': '1657', 'smoothness_worst': '0.1054', 'compactness_worst': '0.1537', 'concavity_worst': '0.2606', 'concave points_worst': '0.1425', 'symmetry_worst': '0.3055', 'fractal_dimension_worst': '0.05933'}
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{'id': '895100', 'diagnosis': 'M', 'radius_mean': '20.34', 'texture_mean': '21.51', 'perimeter_mean': '135.9', 'area_mean': '1264', 'smoothness_mean': '0.117', 'compactness_mean': '0.1875', 'concavity_mean': '0.2565', 'concave points_mean': '0.1504', 'symmetry_mean': '0.2569', 'fractal_dimension_mean': '0.0667', 'radius_se': '0.5702', 'texture_se': '1.023', 'perimeter_se': '4.012', 'area_se': '69.06', 'smoothness_se': '0.005485', 'compactness_se': '0.02431', 'concavity_se': '0.0319', 'concave points_se': '0.01369', 'symmetry_se': '0.02768', 'fractal_dimension_se': '0.003345', 'radius_worst': '25.3', 'texture_worst': '31.86', 'perimeter_worst': '171.1', 'area_worst': '1938', 'smoothness_worst': '0.1592', 'compactness_worst': '0.4492', 'concavity_worst': '0.5344', 'concave points_worst': '0.2685', 'symmetry_worst': '0.5558', 'fractal_dimension_worst': '0.1024'}
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{'id': '89511502', 'diagnosis': 'B', 'radius_mean': '12.67', 'texture_mean': '17.3', 'perimeter_mean': '81.25', 'area_mean': '489.9', 'smoothness_mean': '0.1028', 'compactness_mean': '0.07664', 'concavity_mean': '0.03193', 'concave points_mean': '0.02107', 'symmetry_mean': '0.1707', 'fractal_dimension_mean': '0.05984', 'radius_se': '0.21', 'texture_se': '0.9505', 'perimeter_se': '1.566', 'area_se': '17.61', 'smoothness_se': '0.006809', 'compactness_se': '0.009514', 'concavity_se': '0.01329', 'concave points_se': '0.006474', 'symmetry_se': '0.02057', 'fractal_dimension_se': '0.001784', 'radius_worst': '13.71', 'texture_worst': '21.1', 'perimeter_worst': '88.7', 'area_worst': '574.4', 'smoothness_worst': '0.1384', 'compactness_worst': '0.1212', 'concavity_worst': '0.102', 'concave points_worst': '0.05602', 'symmetry_worst': '0.2688', 'fractal_dimension_worst': '0.06888'}
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{'id': '895299', 'diagnosis': 'B', 'radius_mean': '12.03', 'texture_mean': '17.93', 'perimeter_mean': '76.09', 'area_mean': '446', 'smoothness_mean': '0.07683', 'compactness_mean': '0.03892', 'concavity_mean': '0.001546', 'concave points_mean': '0.005592', 'symmetry_mean': '0.1382', 'fractal_dimension_mean': '0.0607', 'radius_se': '0.2335', 'texture_se': '0.9097', 'perimeter_se': '1.466', 'area_se': '16.97', 'smoothness_se': '0.004729', 'compactness_se': '0.006887', 'concavity_se': '0.001184', 'concave points_se': '0.003951', 'symmetry_se': '0.01466', 'fractal_dimension_se': '0.001755', 'radius_worst': '13.07', 'texture_worst': '22.25', 'perimeter_worst': '82.74', 'area_worst': '523.4', 'smoothness_worst': '0.1013', 'compactness_worst': '0.0739', 'concavity_worst': '0.007732', 'concave points_worst': '0.02796', 'symmetry_worst': '0.2171', 'fractal_dimension_worst': '0.07037'}
{'id': '8953902', 'diagnosis': 'M', 'radius_mean': '16.27', 'texture_mean': '20.71', 'perimeter_mean': '106.9', 'area_mean': '813.7', 'smoothness_mean': '0.1169', 'compactness_mean': '0.1319', 'concavity_mean': '0.1478', 'concave points_mean': '0.08488', 'symmetry_mean': '0.1948', 'fractal_dimension_mean': '0.06277', 'radius_se': '0.4375', 'texture_se': '1.232', 'perimeter_se': '3.27', 'area_se': '44.41', 'smoothness_se': '0.006697', 'compactness_se': '0.02083', 'concavity_se': '0.03248', 'concave points_se': '0.01392', 'symmetry_se': '0.01536', 'fractal_dimension_se': '0.002789', 'radius_worst': '19.28', 'texture_worst': '30.38', 'perimeter_worst': '129.8', 'area_worst': '1121', 'smoothness_worst': '0.159', 'compactness_worst': '0.2947', 'concavity_worst': '0.3597', 'concave points_worst': '0.1583', 'symmetry_worst': '0.3103', 'fractal_dimension_worst': '0.082'}
{'id': '895633', 'diagnosis': 'M', 'radius_mean': '16.26', 'texture_mean': '21.88', 'perimeter_mean': '107.5', 'area_mean': '826.8', 'smoothness_mean': '0.1165', 'compactness_mean': '0.1283', 'concavity_mean': '0.1799', 'concave points_mean': '0.07981', 'symmetry_mean': '0.1869', 'fractal_dimension_mean': '0.06532', 'radius_se': '0.5706', 'texture_se': '1.457', 'perimeter_se': '2.961', 'area_se': '57.72', 'smoothness_se': '0.01056', 'compactness_se': '0.03756', 'concavity_se': '0.05839', 'concave points_se': '0.01186', 'symmetry_se': '0.04022', 'fractal_dimension_se': '0.006187', 'radius_worst': '17.73', 'texture_worst': '25.21', 'perimeter_worst': '113.7', 'area_worst': '975.2', 'smoothness_worst': '0.1426', 'compactness_worst': '0.2116', 'concavity_worst': '0.3344', 'concave points_worst': '0.1047', 'symmetry_worst': '0.2736', 'fractal_dimension_worst': '0.07953'}
{'id': '896839', 'diagnosis': 'M', 'radius_mean': '16.03', 'texture_mean': '15.51', 'perimeter_mean': '105.8', 'area_mean': '793.2', 'smoothness_mean': '0.09491', 'compactness_mean': '0.1371', 'concavity_mean': '0.1204', 'concave points_mean': '0.07041', 'symmetry_mean': '0.1782', 'fractal_dimension_mean': '0.05976', 'radius_se': '0.3371', 'texture_se': '0.7476', 'perimeter_se': '2.629', 'area_se': '33.27', 'smoothness_se': '0.005839', 'compactness_se': '0.03245', 'concavity_se': '0.03715', 'concave points_se': '0.01459', 'symmetry_se': '0.01467', 'fractal_dimension_se': '0.003121', 'radius_worst': '18.76', 'texture_worst': '21.98', 'perimeter_worst': '124.3', 'area_worst': '1070', 'smoothness_worst': '0.1435', 'compactness_worst': '0.4478', 'concavity_worst': '0.4956', 'concave points_worst': '0.1981', 'symmetry_worst': '0.3019', 'fractal_dimension_worst': '0.09124'}
{'id': '896864', 'diagnosis': 'B', 'radius_mean': '12.98', 'texture_mean': '19.35', 'perimeter_mean': '84.52', 'area_mean': '514', 'smoothness_mean': '0.09579', 'compactness_mean': '0.1125', 'concavity_mean': '0.07107', 'concave points_mean': '0.0295', 'symmetry_mean': '0.1761', 'fractal_dimension_mean': '0.0654', 'radius_se': '0.2684', 'texture_se': '0.5664', 'perimeter_se': '2.465', 'area_se': '20.65', 'smoothness_se': '0.005727', 'compactness_se': '0.03255', 'concavity_se': '0.04393', 'concave points_se': '0.009811', 'symmetry_se': '0.02751', 'fractal_dimension_se': '0.004572', 'radius_worst': '14.42', 'texture_worst': '21.95', 'perimeter_worst': '99.21', 'area_worst': '634.3', 'smoothness_worst': '0.1288', 'compactness_worst': '0.3253', 'concavity_worst': '0.3439', 'concave points_worst': '0.09858', 'symmetry_worst': '0.3596', 'fractal_dimension_worst': '0.09166'}
{'id': '897132', 'diagnosis': 'B', 'radius_mean': '11.22', 'texture_mean': '19.86', 'perimeter_mean': '71.94', 'area_mean': '387.3', 'smoothness_mean': '0.1054', 'compactness_mean': '0.06779', 'concavity_mean': '0.005006', 'concave points_mean': '0.007583', 'symmetry_mean': '0.194', 'fractal_dimension_mean': '0.06028', 'radius_se': '0.2976', 'texture_se': '1.966', 'perimeter_se': '1.959', 'area_se': '19.62', 'smoothness_se': '0.01289', 'compactness_se': '0.01104', 'concavity_se': '0.003297', 'concave points_se': '0.004967', 'symmetry_se': '0.04243', 'fractal_dimension_se': '0.001963', 'radius_worst': '11.98', 'texture_worst': '25.78', 'perimeter_worst': '76.91', 'area_worst': '436.1', 'smoothness_worst': '0.1424', 'compactness_worst': '0.09669', 'concavity_worst': '0.01335', 'concave points_worst': '0.02022', 'symmetry_worst': '0.3292', 'fractal_dimension_worst': '0.06522'}
{'id': '897137', 'diagnosis': 'B', 'radius_mean': '11.25', 'texture_mean': '14.78', 'perimeter_mean': '71.38', 'area_mean': '390', 'smoothness_mean': '0.08306', 'compactness_mean': '0.04458', 'concavity_mean': '0.0009737', 'concave points_mean': '0.002941', 'symmetry_mean': '0.1773', 'fractal_dimension_mean': '0.06081', 'radius_se': '0.2144', 'texture_se': '0.9961', 'perimeter_se': '1.529', 'area_se': '15.07', 'smoothness_se': '0.005617', 'compactness_se': '0.007124', 'concavity_se': '0.0009737', 'concave points_se': '0.002941', 'symmetry_se': '0.017', 'fractal_dimension_se': '0.00203', 'radius_worst': '12.76', 'texture_worst': '22.06', 'perimeter_worst': '82.08', 'area_worst': '492.7', 'smoothness_worst': '0.1166', 'compactness_worst': '0.09794', 'concavity_worst': '0.005518', 'concave points_worst': '0.01667', 'symmetry_worst': '0.2815', 'fractal_dimension_worst': '0.07418'}
{'id': '897374', 'diagnosis': 'B', 'radius_mean': '12.3', 'texture_mean': '19.02', 'perimeter_mean': '77.88', 'area_mean': '464.4', 'smoothness_mean': '0.08313', 'compactness_mean': '0.04202', 'concavity_mean': '0.007756', 'concave points_mean': '0.008535', 'symmetry_mean': '0.1539', 'fractal_dimension_mean': '0.05945', 'radius_se': '0.184', 'texture_se': '1.532', 'perimeter_se': '1.199', 'area_se': '13.24', 'smoothness_se': '0.007881', 'compactness_se': '0.008432', 'concavity_se': '0.007004', 'concave points_se': '0.006522', 'symmetry_se': '0.01939', 'fractal_dimension_se': '0.002222', 'radius_worst': '13.35', 'texture_worst': '28.46', 'perimeter_worst': '84.53', 'area_worst': '544.3', 'smoothness_worst': '0.1222', 'compactness_worst': '0.09052', 'concavity_worst': '0.03619', 'concave points_worst': '0.03983', 'symmetry_worst': '0.2554', 'fractal_dimension_worst': '0.07207'}
{'id': '89742801', 'diagnosis': 'M', 'radius_mean': '17.06', 'texture_mean': '21', 'perimeter_mean': '111.8', 'area_mean': '918.6', 'smoothness_mean': '0.1119', 'compactness_mean': '0.1056', 'concavity_mean': '0.1508', 'concave points_mean': '0.09934', 'symmetry_mean': '0.1727', 'fractal_dimension_mean': '0.06071', 'radius_se': '0.8161', 'texture_se': '2.129', 'perimeter_se': '6.076', 'area_se': '87.17', 'smoothness_se': '0.006455', 'compactness_se': '0.01797', 'concavity_se': '0.04502', 'concave points_se': '0.01744', 'symmetry_se': '0.01829', 'fractal_dimension_se': '0.003733', 'radius_worst': '20.99', 'texture_worst': '33.15', 'perimeter_worst': '143.2', 'area_worst': '1362', 'smoothness_worst': '0.1449', 'compactness_worst': '0.2053', 'concavity_worst': '0.392', 'concave points_worst': '0.1827', 'symmetry_worst': '0.2623', 'fractal_dimension_worst': '0.07599'}
{'id': '897604', 'diagnosis': 'B', 'radius_mean': '12.99', 'texture_mean': '14.23', 'perimeter_mean': '84.08', 'area_mean': '514.3', 'smoothness_mean': '0.09462', 'compactness_mean': '0.09965', 'concavity_mean': '0.03738', 'concave points_mean': '0.02098', 'symmetry_mean': '0.1652', 'fractal_dimension_mean': '0.07238', 'radius_se': '0.1814', 'texture_se': '0.6412', 'perimeter_se': '0.9219', 'area_se': '14.41', 'smoothness_se': '0.005231', 'compactness_se': '0.02305', 'concavity_se': '0.03113', 'concave points_se': '0.007315', 'symmetry_se': '0.01639', 'fractal_dimension_se': '0.005701', 'radius_worst': '13.72', 'texture_worst': '16.91', 'perimeter_worst': '87.38', 'area_worst': '576', 'smoothness_worst': '0.1142', 'compactness_worst': '0.1975', 'concavity_worst': '0.145', 'concave points_worst': '0.0585', 'symmetry_worst': '0.2432', 'fractal_dimension_worst': '0.1009'}
{'id': '897630', 'diagnosis': 'M', 'radius_mean': '18.77', 'texture_mean': '21.43', 'perimeter_mean': '122.9', 'area_mean': '1092', 'smoothness_mean': '0.09116', 'compactness_mean': '0.1402', 'concavity_mean': '0.106', 'concave points_mean': '0.0609', 'symmetry_mean': '0.1953', 'fractal_dimension_mean': '0.06083', 'radius_se': '0.6422', 'texture_se': '1.53', 'perimeter_se': '4.369', 'area_se': '88.25', 'smoothness_se': '0.007548', 'compactness_se': '0.03897', 'concavity_se': '0.03914', 'concave points_se': '0.01816', 'symmetry_se': '0.02168', 'fractal_dimension_se': '0.004445', 'radius_worst': '24.54', 'texture_worst': '34.37', 'perimeter_worst': '161.1', 'area_worst': '1873', 'smoothness_worst': '0.1498', 'compactness_worst': '0.4827', 'concavity_worst': '0.4634', 'concave points_worst': '0.2048', 'symmetry_worst': '0.3679', 'fractal_dimension_worst': '0.0987'}
{'id': '897880', 'diagnosis': 'B', 'radius_mean': '10.05', 'texture_mean': '17.53', 'perimeter_mean': '64.41', 'area_mean': '310.8', 'smoothness_mean': '0.1007', 'compactness_mean': '0.07326', 'concavity_mean': '0.02511', 'concave points_mean': '0.01775', 'symmetry_mean': '0.189', 'fractal_dimension_mean': '0.06331', 'radius_se': '0.2619', 'texture_se': '2.015', 'perimeter_se': '1.778', 'area_se': '16.85', 'smoothness_se': '0.007803', 'compactness_se': '0.01449', 'concavity_se': '0.0169', 'concave points_se': '0.008043', 'symmetry_se': '0.021', 'fractal_dimension_se': '0.002778', 'radius_worst': '11.16', 'texture_worst': '26.84', 'perimeter_worst': '71.98', 'area_worst': '384', 'smoothness_worst': '0.1402', 'compactness_worst': '0.1402', 'concavity_worst': '0.1055', 'concave points_worst': '0.06499', 'symmetry_worst': '0.2894', 'fractal_dimension_worst': '0.07664'}
{'id': '89812', 'diagnosis': 'M', 'radius_mean': '23.51', 'texture_mean': '24.27', 'perimeter_mean': '155.1', 'area_mean': '1747', 'smoothness_mean': '0.1069', 'compactness_mean': '0.1283', 'concavity_mean': '0.2308', 'concave points_mean': '0.141', 'symmetry_mean': '0.1797', 'fractal_dimension_mean': '0.05506', 'radius_se': '1.009', 'texture_se': '0.9245', 'perimeter_se': '6.462', 'area_se': '164.1', 'smoothness_se': '0.006292', 'compactness_se': '0.01971', 'concavity_se': '0.03582', 'concave points_se': '0.01301', 'symmetry_se': '0.01479', 'fractal_dimension_se': '0.003118', 'radius_worst': '30.67', 'texture_worst': '30.73', 'perimeter_worst': '202.4', 'area_worst': '2906', 'smoothness_worst': '0.1515', 'compactness_worst': '0.2678', 'concavity_worst': '0.4819', 'concave points_worst': '0.2089', 'symmetry_worst': '0.2593', 'fractal_dimension_worst': '0.07738'}
{'id': '89813', 'diagnosis': 'B', 'radius_mean': '14.42', 'texture_mean': '16.54', 'perimeter_mean': '94.15', 'area_mean': '641.2', 'smoothness_mean': '0.09751', 'compactness_mean': '0.1139', 'concavity_mean': '0.08007', 'concave points_mean': '0.04223', 'symmetry_mean': '0.1912', 'fractal_dimension_mean': '0.06412', 'radius_se': '0.3491', 'texture_se': '0.7706', 'perimeter_se': '2.677', 'area_se': '32.14', 'smoothness_se': '0.004577', 'compactness_se': '0.03053', 'concavity_se': '0.0384', 'concave points_se': '0.01243', 'symmetry_se': '0.01873', 'fractal_dimension_se': '0.003373', 'radius_worst': '16.67', 'texture_worst': '21.51', 'perimeter_worst': '111.4', 'area_worst': '862.1', 'smoothness_worst': '0.1294', 'compactness_worst': '0.3371', 'concavity_worst': '0.3755', 'concave points_worst': '0.1414', 'symmetry_worst': '0.3053', 'fractal_dimension_worst': '0.08764'}
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{'id': '89827', 'diagnosis': 'B', 'radius_mean': '11.06', 'texture_mean': '14.96', 'perimeter_mean': '71.49', 'area_mean': '373.9', 'smoothness_mean': '0.1033', 'compactness_mean': '0.09097', 'concavity_mean': '0.05397', 'concave points_mean': '0.03341', 'symmetry_mean': '0.1776', 'fractal_dimension_mean': '0.06907', 'radius_se': '0.1601', 'texture_se': '0.8225', 'perimeter_se': '1.355', 'area_se': '10.8', 'smoothness_se': '0.007416', 'compactness_se': '0.01877', 'concavity_se': '0.02758', 'concave points_se': '0.0101', 'symmetry_se': '0.02348', 'fractal_dimension_se': '0.002917', 'radius_worst': '11.92', 'texture_worst': '19.9', 'perimeter_worst': '79.76', 'area_worst': '440', 'smoothness_worst': '0.1418', 'compactness_worst': '0.221', 'concavity_worst': '0.2299', 'concave points_worst': '0.1075', 'symmetry_worst': '0.3301', 'fractal_dimension_worst': '0.0908'}
{'id': '898431', 'diagnosis': 'M', 'radius_mean': '19.68', 'texture_mean': '21.68', 'perimeter_mean': '129.9', 'area_mean': '1194', 'smoothness_mean': '0.09797', 'compactness_mean': '0.1339', 'concavity_mean': '0.1863', 'concave points_mean': '0.1103', 'symmetry_mean': '0.2082', 'fractal_dimension_mean': '0.05715', 'radius_se': '0.6226', 'texture_se': '2.284', 'perimeter_se': '5.173', 'area_se': '67.66', 'smoothness_se': '0.004756', 'compactness_se': '0.03368', 'concavity_se': '0.04345', 'concave points_se': '0.01806', 'symmetry_se': '0.03756', 'fractal_dimension_se': '0.003288', 'radius_worst': '22.75', 'texture_worst': '34.66', 'perimeter_worst': '157.6', 'area_worst': '1540', 'smoothness_worst': '0.1218', 'compactness_worst': '0.3458', 'concavity_worst': '0.4734', 'concave points_worst': '0.2255', 'symmetry_worst': '0.4045', 'fractal_dimension_worst': '0.07918'}
{'id': '89864002', 'diagnosis': 'B', 'radius_mean': '11.71', 'texture_mean': '15.45', 'perimeter_mean': '75.03', 'area_mean': '420.3', 'smoothness_mean': '0.115', 'compactness_mean': '0.07281', 'concavity_mean': '0.04006', 'concave points_mean': '0.0325', 'symmetry_mean': '0.2009', 'fractal_dimension_mean': '0.06506', 'radius_se': '0.3446', 'texture_se': '0.7395', 'perimeter_se': '2.355', 'area_se': '24.53', 'smoothness_se': '0.009536', 'compactness_se': '0.01097', 'concavity_se': '0.01651', 'concave points_se': '0.01121', 'symmetry_se': '0.01953', 'fractal_dimension_se': '0.0031', 'radius_worst': '13.06', 'texture_worst': '18.16', 'perimeter_worst': '84.16', 'area_worst': '516.4', 'smoothness_worst': '0.146', 'compactness_worst': '0.1115', 'concavity_worst': '0.1087', 'concave points_worst': '0.07864', 'symmetry_worst': '0.2765', 'fractal_dimension_worst': '0.07806'}
{'id': '898677', 'diagnosis': 'B', 'radius_mean': '10.26', 'texture_mean': '14.71', 'perimeter_mean': '66.2', 'area_mean': '321.6', 'smoothness_mean': '0.09882', 'compactness_mean': '0.09159', 'concavity_mean': '0.03581', 'concave points_mean': '0.02037', 'symmetry_mean': '0.1633', 'fractal_dimension_mean': '0.07005', 'radius_se': '0.338', 'texture_se': '2.509', 'perimeter_se': '2.394', 'area_se': '19.33', 'smoothness_se': '0.01736', 'compactness_se': '0.04671', 'concavity_se': '0.02611', 'concave points_se': '0.01296', 'symmetry_se': '0.03675', 'fractal_dimension_se': '0.006758', 'radius_worst': '10.88', 'texture_worst': '19.48', 'perimeter_worst': '70.89', 'area_worst': '357.1', 'smoothness_worst': '0.136', 'compactness_worst': '0.1636', 'concavity_worst': '0.07162', 'concave points_worst': '0.04074', 'symmetry_worst': '0.2434', 'fractal_dimension_worst': '0.08488'}
{'id': '898678', 'diagnosis': 'B', 'radius_mean': '12.06', 'texture_mean': '18.9', 'perimeter_mean': '76.66', 'area_mean': '445.3', 'smoothness_mean': '0.08386', 'compactness_mean': '0.05794', 'concavity_mean': '0.00751', 'concave points_mean': '0.008488', 'symmetry_mean': '0.1555', 'fractal_dimension_mean': '0.06048', 'radius_se': '0.243', 'texture_se': '1.152', 'perimeter_se': '1.559', 'area_se': '18.02', 'smoothness_se': '0.00718', 'compactness_se': '0.01096', 'concavity_se': '0.005832', 'concave points_se': '0.005495', 'symmetry_se': '0.01982', 'fractal_dimension_se': '0.002754', 'radius_worst': '13.64', 'texture_worst': '27.06', 'perimeter_worst': '86.54', 'area_worst': '562.6', 'smoothness_worst': '0.1289', 'compactness_worst': '0.1352', 'concavity_worst': '0.04506', 'concave points_worst': '0.05093', 'symmetry_worst': '0.288', 'fractal_dimension_worst': '0.08083'}
{'id': '89869', 'diagnosis': 'B', 'radius_mean': '14.76', 'texture_mean': '14.74', 'perimeter_mean': '94.87', 'area_mean': '668.7', 'smoothness_mean': '0.08875', 'compactness_mean': '0.0778', 'concavity_mean': '0.04608', 'concave points_mean': '0.03528', 'symmetry_mean': '0.1521', 'fractal_dimension_mean': '0.05912', 'radius_se': '0.3428', 'texture_se': '0.3981', 'perimeter_se': '2.537', 'area_se': '29.06', 'smoothness_se': '0.004732', 'compactness_se': '0.01506', 'concavity_se': '0.01855', 'concave points_se': '0.01067', 'symmetry_se': '0.02163', 'fractal_dimension_se': '0.002783', 'radius_worst': '17.27', 'texture_worst': '17.93', 'perimeter_worst': '114.2', 'area_worst': '880.8', 'smoothness_worst': '0.122', 'compactness_worst': '0.2009', 'concavity_worst': '0.2151', 'concave points_worst': '0.1251', 'symmetry_worst': '0.3109', 'fractal_dimension_worst': '0.08187'}
{'id': '898690', 'diagnosis': 'B', 'radius_mean': '11.47', 'texture_mean': '16.03', 'perimeter_mean': '73.02', 'area_mean': '402.7', 'smoothness_mean': '0.09076', 'compactness_mean': '0.05886', 'concavity_mean': '0.02587', 'concave points_mean': '0.02322', 'symmetry_mean': '0.1634', 'fractal_dimension_mean': '0.06372', 'radius_se': '0.1707', 'texture_se': '0.7615', 'perimeter_se': '1.09', 'area_se': '12.25', 'smoothness_se': '0.009191', 'compactness_se': '0.008548', 'concavity_se': '0.0094', 'concave points_se': '0.006315', 'symmetry_se': '0.01755', 'fractal_dimension_se': '0.003009', 'radius_worst': '12.51', 'texture_worst': '20.79', 'perimeter_worst': '79.67', 'area_worst': '475.8', 'smoothness_worst': '0.1531', 'compactness_worst': '0.112', 'concavity_worst': '0.09823', 'concave points_worst': '0.06548', 'symmetry_worst': '0.2851', 'fractal_dimension_worst': '0.08763'}
{'id': '899147', 'diagnosis': 'B', 'radius_mean': '11.95', 'texture_mean': '14.96', 'perimeter_mean': '77.23', 'area_mean': '426.7', 'smoothness_mean': '0.1158', 'compactness_mean': '0.1206', 'concavity_mean': '0.01171', 'concave points_mean': '0.01787', 'symmetry_mean': '0.2459', 'fractal_dimension_mean': '0.06581', 'radius_se': '0.361', 'texture_se': '1.05', 'perimeter_se': '2.455', 'area_se': '26.65', 'smoothness_se': '0.0058', 'compactness_se': '0.02417', 'concavity_se': '0.007816', 'concave points_se': '0.01052', 'symmetry_se': '0.02734', 'fractal_dimension_se': '0.003114', 'radius_worst': '12.81', 'texture_worst': '17.72', 'perimeter_worst': '83.09', 'area_worst': '496.2', 'smoothness_worst': '0.1293', 'compactness_worst': '0.1885', 'concavity_worst': '0.03122', 'concave points_worst': '0.04766', 'symmetry_worst': '0.3124', 'fractal_dimension_worst': '0.0759'}
{'id': '899187', 'diagnosis': 'B', 'radius_mean': '11.66', 'texture_mean': '17.07', 'perimeter_mean': '73.7', 'area_mean': '421', 'smoothness_mean': '0.07561', 'compactness_mean': '0.0363', 'concavity_mean': '0.008306', 'concave points_mean': '0.01162', 'symmetry_mean': '0.1671', 'fractal_dimension_mean': '0.05731', 'radius_se': '0.3534', 'texture_se': '0.6724', 'perimeter_se': '2.225', 'area_se': '26.03', 'smoothness_se': '0.006583', 'compactness_se': '0.006991', 'concavity_se': '0.005949', 'concave points_se': '0.006296', 'symmetry_se': '0.02216', 'fractal_dimension_se': '0.002668', 'radius_worst': '13.28', 'texture_worst': '19.74', 'perimeter_worst': '83.61', 'area_worst': '542.5', 'smoothness_worst': '0.09958', 'compactness_worst': '0.06476', 'concavity_worst': '0.03046', 'concave points_worst': '0.04262', 'symmetry_worst': '0.2731', 'fractal_dimension_worst': '0.06825'}
{'id': '899667', 'diagnosis': 'M', 'radius_mean': '15.75', 'texture_mean': '19.22', 'perimeter_mean': '107.1', 'area_mean': '758.6', 'smoothness_mean': '0.1243', 'compactness_mean': '0.2364', 'concavity_mean': '0.2914', 'concave points_mean': '0.1242', 'symmetry_mean': '0.2375', 'fractal_dimension_mean': '0.07603', 'radius_se': '0.5204', 'texture_se': '1.324', 'perimeter_se': '3.477', 'area_se': '51.22', 'smoothness_se': '0.009329', 'compactness_se': '0.06559', 'concavity_se': '0.09953', 'concave points_se': '0.02283', 'symmetry_se': '0.05543', 'fractal_dimension_se': '0.00733', 'radius_worst': '17.36', 'texture_worst': '24.17', 'perimeter_worst': '119.4', 'area_worst': '915.3', 'smoothness_worst': '0.155', 'compactness_worst': '0.5046', 'concavity_worst': '0.6872', 'concave points_worst': '0.2135', 'symmetry_worst': '0.4245', 'fractal_dimension_worst': '0.105'}
{'id': '899987', 'diagnosis': 'M', 'radius_mean': '25.73', 'texture_mean': '17.46', 'perimeter_mean': '174.2', 'area_mean': '2010', 'smoothness_mean': '0.1149', 'compactness_mean': '0.2363', 'concavity_mean': '0.3368', 'concave points_mean': '0.1913', 'symmetry_mean': '0.1956', 'fractal_dimension_mean': '0.06121', 'radius_se': '0.9948', 'texture_se': '0.8509', 'perimeter_se': '7.222', 'area_se': '153.1', 'smoothness_se': '0.006369', 'compactness_se': '0.04243', 'concavity_se': '0.04266', 'concave points_se': '0.01508', 'symmetry_se': '0.02335', 'fractal_dimension_se': '0.003385', 'radius_worst': '33.13', 'texture_worst': '23.58', 'perimeter_worst': '229.3', 'area_worst': '3234', 'smoothness_worst': '0.153', 'compactness_worst': '0.5937', 'concavity_worst': '0.6451', 'concave points_worst': '0.2756', 'symmetry_worst': '0.369', 'fractal_dimension_worst': '0.08815'}
{'id': '9010018', 'diagnosis': 'M', 'radius_mean': '15.08', 'texture_mean': '25.74', 'perimeter_mean': '98', 'area_mean': '716.6', 'smoothness_mean': '0.1024', 'compactness_mean': '0.09769', 'concavity_mean': '0.1235', 'concave points_mean': '0.06553', 'symmetry_mean': '0.1647', 'fractal_dimension_mean': '0.06464', 'radius_se': '0.6534', 'texture_se': '1.506', 'perimeter_se': '4.174', 'area_se': '63.37', 'smoothness_se': '0.01052', 'compactness_se': '0.02431', 'concavity_se': '0.04912', 'concave points_se': '0.01746', 'symmetry_se': '0.0212', 'fractal_dimension_se': '0.004867', 'radius_worst': '18.51', 'texture_worst': '33.22', 'perimeter_worst': '121.2', 'area_worst': '1050', 'smoothness_worst': '0.166', 'compactness_worst': '0.2356', 'concavity_worst': '0.4029', 'concave points_worst': '0.1526', 'symmetry_worst': '0.2654', 'fractal_dimension_worst': '0.09438'}
{'id': '901011', 'diagnosis': 'B', 'radius_mean': '11.14', 'texture_mean': '14.07', 'perimeter_mean': '71.24', 'area_mean': '384.6', 'smoothness_mean': '0.07274', 'compactness_mean': '0.06064', 'concavity_mean': '0.04505', 'concave points_mean': '0.01471', 'symmetry_mean': '0.169', 'fractal_dimension_mean': '0.06083', 'radius_se': '0.4222', 'texture_se': '0.8092', 'perimeter_se': '3.33', 'area_se': '28.84', 'smoothness_se': '0.005541', 'compactness_se': '0.03387', 'concavity_se': '0.04505', 'concave points_se': '0.01471', 'symmetry_se': '0.03102', 'fractal_dimension_se': '0.004831', 'radius_worst': '12.12', 'texture_worst': '15.82', 'perimeter_worst': '79.62', 'area_worst': '453.5', 'smoothness_worst': '0.08864', 'compactness_worst': '0.1256', 'concavity_worst': '0.1201', 'concave points_worst': '0.03922', 'symmetry_worst': '0.2576', 'fractal_dimension_worst': '0.07018'}
{'id': '9010258', 'diagnosis': 'B', 'radius_mean': '12.56', 'texture_mean': '19.07', 'perimeter_mean': '81.92', 'area_mean': '485.8', 'smoothness_mean': '0.0876', 'compactness_mean': '0.1038', 'concavity_mean': '0.103', 'concave points_mean': '0.04391', 'symmetry_mean': '0.1533', 'fractal_dimension_mean': '0.06184', 'radius_se': '0.3602', 'texture_se': '1.478', 'perimeter_se': '3.212', 'area_se': '27.49', 'smoothness_se': '0.009853', 'compactness_se': '0.04235', 'concavity_se': '0.06271', 'concave points_se': '0.01966', 'symmetry_se': '0.02639', 'fractal_dimension_se': '0.004205', 'radius_worst': '13.37', 'texture_worst': '22.43', 'perimeter_worst': '89.02', 'area_worst': '547.4', 'smoothness_worst': '0.1096', 'compactness_worst': '0.2002', 'concavity_worst': '0.2388', 'concave points_worst': '0.09265', 'symmetry_worst': '0.2121', 'fractal_dimension_worst': '0.07188'}
{'id': '9010259', 'diagnosis': 'B', 'radius_mean': '13.05', 'texture_mean': '18.59', 'perimeter_mean': '85.09', 'area_mean': '512', 'smoothness_mean': '0.1082', 'compactness_mean': '0.1304', 'concavity_mean': '0.09603', 'concave points_mean': '0.05603', 'symmetry_mean': '0.2035', 'fractal_dimension_mean': '0.06501', 'radius_se': '0.3106', 'texture_se': '1.51', 'perimeter_se': '2.59', 'area_se': '21.57', 'smoothness_se': '0.007807', 'compactness_se': '0.03932', 'concavity_se': '0.05112', 'concave points_se': '0.01876', 'symmetry_se': '0.0286', 'fractal_dimension_se': '0.005715', 'radius_worst': '14.19', 'texture_worst': '24.85', 'perimeter_worst': '94.22', 'area_worst': '591.2', 'smoothness_worst': '0.1343', 'compactness_worst': '0.2658', 'concavity_worst': '0.2573', 'concave points_worst': '0.1258', 'symmetry_worst': '0.3113', 'fractal_dimension_worst': '0.08317'}
{'id': '901028', 'diagnosis': 'B', 'radius_mean': '13.87', 'texture_mean': '16.21', 'perimeter_mean': '88.52', 'area_mean': '593.7', 'smoothness_mean': '0.08743', 'compactness_mean': '0.05492', 'concavity_mean': '0.01502', 'concave points_mean': '0.02088', 'symmetry_mean': '0.1424', 'fractal_dimension_mean': '0.05883', 'radius_se': '0.2543', 'texture_se': '1.363', 'perimeter_se': '1.737', 'area_se': '20.74', 'smoothness_se': '0.005638', 'compactness_se': '0.007939', 'concavity_se': '0.005254', 'concave points_se': '0.006042', 'symmetry_se': '0.01544', 'fractal_dimension_se': '0.002087', 'radius_worst': '15.11', 'texture_worst': '25.58', 'perimeter_worst': '96.74', 'area_worst': '694.4', 'smoothness_worst': '0.1153', 'compactness_worst': '0.1008', 'concavity_worst': '0.05285', 'concave points_worst': '0.05556', 'symmetry_worst': '0.2362', 'fractal_dimension_worst': '0.07113'}
{'id': '9010333', 'diagnosis': 'B', 'radius_mean': '8.878', 'texture_mean': '15.49', 'perimeter_mean': '56.74', 'area_mean': '241', 'smoothness_mean': '0.08293', 'compactness_mean': '0.07698', 'concavity_mean': '0.04721', 'concave points_mean': '0.02381', 'symmetry_mean': '0.193', 'fractal_dimension_mean': '0.06621', 'radius_se': '0.5381', 'texture_se': '1.2', 'perimeter_se': '4.277', 'area_se': '30.18', 'smoothness_se': '0.01093', 'compactness_se': '0.02899', 'concavity_se': '0.03214', 'concave points_se': '0.01506', 'symmetry_se': '0.02837', 'fractal_dimension_se': '0.004174', 'radius_worst': '9.981', 'texture_worst': '17.7', 'perimeter_worst': '65.27', 'area_worst': '302', 'smoothness_worst': '0.1015', 'compactness_worst': '0.1248', 'concavity_worst': '0.09441', 'concave points_worst': '0.04762', 'symmetry_worst': '0.2434', 'fractal_dimension_worst': '0.07431'}
{'id': '901034301', 'diagnosis': 'B', 'radius_mean': '9.436', 'texture_mean': '18.32', 'perimeter_mean': '59.82', 'area_mean': '278.6', 'smoothness_mean': '0.1009', 'compactness_mean': '0.05956', 'concavity_mean': '0.0271', 'concave points_mean': '0.01406', 'symmetry_mean': '0.1506', 'fractal_dimension_mean': '0.06959', 'radius_se': '0.5079', 'texture_se': '1.247', 'perimeter_se': '3.267', 'area_se': '30.48', 'smoothness_se': '0.006836', 'compactness_se': '0.008982', 'concavity_se': '0.02348', 'concave points_se': '0.006565', 'symmetry_se': '0.01942', 'fractal_dimension_se': '0.002713', 'radius_worst': '12.02', 'texture_worst': '25.02', 'perimeter_worst': '75.79', 'area_worst': '439.6', 'smoothness_worst': '0.1333', 'compactness_worst': '0.1049', 'concavity_worst': '0.1144', 'concave points_worst': '0.05052', 'symmetry_worst': '0.2454', 'fractal_dimension_worst': '0.08136'}
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{'id': '901041', 'diagnosis': 'B', 'radius_mean': '13.3', 'texture_mean': '21.57', 'perimeter_mean': '85.24', 'area_mean': '546.1', 'smoothness_mean': '0.08582', 'compactness_mean': '0.06373', 'concavity_mean': '0.03344', 'concave points_mean': '0.02424', 'symmetry_mean': '0.1815', 'fractal_dimension_mean': '0.05696', 'radius_se': '0.2621', 'texture_se': '1.539', 'perimeter_se': '2.028', 'area_se': '20.98', 'smoothness_se': '0.005498', 'compactness_se': '0.02045', 'concavity_se': '0.01795', 'concave points_se': '0.006399', 'symmetry_se': '0.01829', 'fractal_dimension_se': '0.001956', 'radius_worst': '14.2', 'texture_worst': '29.2', 'perimeter_worst': '92.94', 'area_worst': '621.2', 'smoothness_worst': '0.114', 'compactness_worst': '0.1667', 'concavity_worst': '0.1212', 'concave points_worst': '0.05614', 'symmetry_worst': '0.2637', 'fractal_dimension_worst': '0.06658'}
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{'id': '9010872', 'diagnosis': 'B', 'radius_mean': '16.5', 'texture_mean': '18.29', 'perimeter_mean': '106.6', 'area_mean': '838.1', 'smoothness_mean': '0.09686', 'compactness_mean': '0.08468', 'concavity_mean': '0.05862', 'concave points_mean': '0.04835', 'symmetry_mean': '0.1495', 'fractal_dimension_mean': '0.05593', 'radius_se': '0.3389', 'texture_se': '1.439', 'perimeter_se': '2.344', 'area_se': '33.58', 'smoothness_se': '0.007257', 'compactness_se': '0.01805', 'concavity_se': '0.01832', 'concave points_se': '0.01033', 'symmetry_se': '0.01694', 'fractal_dimension_se': '0.002001', 'radius_worst': '18.13', 'texture_worst': '25.45', 'perimeter_worst': '117.2', 'area_worst': '1009', 'smoothness_worst': '0.1338', 'compactness_worst': '0.1679', 'concavity_worst': '0.1663', 'concave points_worst': '0.09123', 'symmetry_worst': '0.2394', 'fractal_dimension_worst': '0.06469'}
{'id': '9010877', 'diagnosis': 'B', 'radius_mean': '13.4', 'texture_mean': '16.95', 'perimeter_mean': '85.48', 'area_mean': '552.4', 'smoothness_mean': '0.07937', 'compactness_mean': '0.05696', 'concavity_mean': '0.02181', 'concave points_mean': '0.01473', 'symmetry_mean': '0.165', 'fractal_dimension_mean': '0.05701', 'radius_se': '0.1584', 'texture_se': '0.6124', 'perimeter_se': '1.036', 'area_se': '13.22', 'smoothness_se': '0.004394', 'compactness_se': '0.0125', 'concavity_se': '0.01451', 'concave points_se': '0.005484', 'symmetry_se': '0.01291', 'fractal_dimension_se': '0.002074', 'radius_worst': '14.73', 'texture_worst': '21.7', 'perimeter_worst': '93.76', 'area_worst': '663.5', 'smoothness_worst': '0.1213', 'compactness_worst': '0.1676', 'concavity_worst': '0.1364', 'concave points_worst': '0.06987', 'symmetry_worst': '0.2741', 'fractal_dimension_worst': '0.07582'}
{'id': '901088', 'diagnosis': 'M', 'radius_mean': '20.44', 'texture_mean': '21.78', 'perimeter_mean': '133.8', 'area_mean': '1293', 'smoothness_mean': '0.0915', 'compactness_mean': '0.1131', 'concavity_mean': '0.09799', 'concave points_mean': '0.07785', 'symmetry_mean': '0.1618', 'fractal_dimension_mean': '0.05557', 'radius_se': '0.5781', 'texture_se': '0.9168', 'perimeter_se': '4.218', 'area_se': '72.44', 'smoothness_se': '0.006208', 'compactness_se': '0.01906', 'concavity_se': '0.02375', 'concave points_se': '0.01461', 'symmetry_se': '0.01445', 'fractal_dimension_se': '0.001906', 'radius_worst': '24.31', 'texture_worst': '26.37', 'perimeter_worst': '161.2', 'area_worst': '1780', 'smoothness_worst': '0.1327', 'compactness_worst': '0.2376', 'concavity_worst': '0.2702', 'concave points_worst': '0.1765', 'symmetry_worst': '0.2609', 'fractal_dimension_worst': '0.06735'}
{'id': '9011494', 'diagnosis': 'M', 'radius_mean': '20.2', 'texture_mean': '26.83', 'perimeter_mean': '133.7', 'area_mean': '1234', 'smoothness_mean': '0.09905', 'compactness_mean': '0.1669', 'concavity_mean': '0.1641', 'concave points_mean': '0.1265', 'symmetry_mean': '0.1875', 'fractal_dimension_mean': '0.0602', 'radius_se': '0.9761', 'texture_se': '1.892', 'perimeter_se': '7.128', 'area_se': '103.6', 'smoothness_se': '0.008439', 'compactness_se': '0.04674', 'concavity_se': '0.05904', 'concave points_se': '0.02536', 'symmetry_se': '0.0371', 'fractal_dimension_se': '0.004286', 'radius_worst': '24.19', 'texture_worst': '33.81', 'perimeter_worst': '160', 'area_worst': '1671', 'smoothness_worst': '0.1278', 'compactness_worst': '0.3416', 'concavity_worst': '0.3703', 'concave points_worst': '0.2152', 'symmetry_worst': '0.3271', 'fractal_dimension_worst': '0.07632'}
{'id': '9011495', 'diagnosis': 'B', 'radius_mean': '12.21', 'texture_mean': '18.02', 'perimeter_mean': '78.31', 'area_mean': '458.4', 'smoothness_mean': '0.09231', 'compactness_mean': '0.07175', 'concavity_mean': '0.04392', 'concave points_mean': '0.02027', 'symmetry_mean': '0.1695', 'fractal_dimension_mean': '0.05916', 'radius_se': '0.2527', 'texture_se': '0.7786', 'perimeter_se': '1.874', 'area_se': '18.57', 'smoothness_se': '0.005833', 'compactness_se': '0.01388', 'concavity_se': '0.02', 'concave points_se': '0.007087', 'symmetry_se': '0.01938', 'fractal_dimension_se': '0.00196', 'radius_worst': '14.29', 'texture_worst': '24.04', 'perimeter_worst': '93.85', 'area_worst': '624.6', 'smoothness_worst': '0.1368', 'compactness_worst': '0.217', 'concavity_worst': '0.2413', 'concave points_worst': '0.08829', 'symmetry_worst': '0.3218', 'fractal_dimension_worst': '0.0747'}
{'id': '9011971', 'diagnosis': 'M', 'radius_mean': '21.71', 'texture_mean': '17.25', 'perimeter_mean': '140.9', 'area_mean': '1546', 'smoothness_mean': '0.09384', 'compactness_mean': '0.08562', 'concavity_mean': '0.1168', 'concave points_mean': '0.08465', 'symmetry_mean': '0.1717', 'fractal_dimension_mean': '0.05054', 'radius_se': '1.207', 'texture_se': '1.051', 'perimeter_se': '7.733', 'area_se': '224.1', 'smoothness_se': '0.005568', 'compactness_se': '0.01112', 'concavity_se': '0.02096', 'concave points_se': '0.01197', 'symmetry_se': '0.01263', 'fractal_dimension_se': '0.001803', 'radius_worst': '30.75', 'texture_worst': '26.44', 'perimeter_worst': '199.5', 'area_worst': '3143', 'smoothness_worst': '0.1363', 'compactness_worst': '0.1628', 'concavity_worst': '0.2861', 'concave points_worst': '0.182', 'symmetry_worst': '0.251', 'fractal_dimension_worst': '0.06494'}
{'id': '9012000', 'diagnosis': 'M', 'radius_mean': '22.01', 'texture_mean': '21.9', 'perimeter_mean': '147.2', 'area_mean': '1482', 'smoothness_mean': '0.1063', 'compactness_mean': '0.1954', 'concavity_mean': '0.2448', 'concave points_mean': '0.1501', 'symmetry_mean': '0.1824', 'fractal_dimension_mean': '0.0614', 'radius_se': '1.008', 'texture_se': '0.6999', 'perimeter_se': '7.561', 'area_se': '130.2', 'smoothness_se': '0.003978', 'compactness_se': '0.02821', 'concavity_se': '0.03576', 'concave points_se': '0.01471', 'symmetry_se': '0.01518', 'fractal_dimension_se': '0.003796', 'radius_worst': '27.66', 'texture_worst': '25.8', 'perimeter_worst': '195', 'area_worst': '2227', 'smoothness_worst': '0.1294', 'compactness_worst': '0.3885', 'concavity_worst': '0.4756', 'concave points_worst': '0.2432', 'symmetry_worst': '0.2741', 'fractal_dimension_worst': '0.08574'}
{'id': '9012315', 'diagnosis': 'M', 'radius_mean': '16.35', 'texture_mean': '23.29', 'perimeter_mean': '109', 'area_mean': '840.4', 'smoothness_mean': '0.09742', 'compactness_mean': '0.1497', 'concavity_mean': '0.1811', 'concave points_mean': '0.08773', 'symmetry_mean': '0.2175', 'fractal_dimension_mean': '0.06218', 'radius_se': '0.4312', 'texture_se': '1.022', 'perimeter_se': '2.972', 'area_se': '45.5', 'smoothness_se': '0.005635', 'compactness_se': '0.03917', 'concavity_se': '0.06072', 'concave points_se': '0.01656', 'symmetry_se': '0.03197', 'fractal_dimension_se': '0.004085', 'radius_worst': '19.38', 'texture_worst': '31.03', 'perimeter_worst': '129.3', 'area_worst': '1165', 'smoothness_worst': '0.1415', 'compactness_worst': '0.4665', 'concavity_worst': '0.7087', 'concave points_worst': '0.2248', 'symmetry_worst': '0.4824', 'fractal_dimension_worst': '0.09614'}
{'id': '9012568', 'diagnosis': 'B', 'radius_mean': '15.19', 'texture_mean': '13.21', 'perimeter_mean': '97.65', 'area_mean': '711.8', 'smoothness_mean': '0.07963', 'compactness_mean': '0.06934', 'concavity_mean': '0.03393', 'concave points_mean': '0.02657', 'symmetry_mean': '0.1721', 'fractal_dimension_mean': '0.05544', 'radius_se': '0.1783', 'texture_se': '0.4125', 'perimeter_se': '1.338', 'area_se': '17.72', 'smoothness_se': '0.005012', 'compactness_se': '0.01485', 'concavity_se': '0.01551', 'concave points_se': '0.009155', 'symmetry_se': '0.01647', 'fractal_dimension_se': '0.001767', 'radius_worst': '16.2', 'texture_worst': '15.73', 'perimeter_worst': '104.5', 'area_worst': '819.1', 'smoothness_worst': '0.1126', 'compactness_worst': '0.1737', 'concavity_worst': '0.1362', 'concave points_worst': '0.08178', 'symmetry_worst': '0.2487', 'fractal_dimension_worst': '0.06766'}
{'id': '9012795', 'diagnosis': 'M', 'radius_mean': '21.37', 'texture_mean': '15.1', 'perimeter_mean': '141.3', 'area_mean': '1386', 'smoothness_mean': '0.1001', 'compactness_mean': '0.1515', 'concavity_mean': '0.1932', 'concave points_mean': '0.1255', 'symmetry_mean': '0.1973', 'fractal_dimension_mean': '0.06183', 'radius_se': '0.3414', 'texture_se': '1.309', 'perimeter_se': '2.407', 'area_se': '39.06', 'smoothness_se': '0.004426', 'compactness_se': '0.02675', 'concavity_se': '0.03437', 'concave points_se': '0.01343', 'symmetry_se': '0.01675', 'fractal_dimension_se': '0.004367', 'radius_worst': '22.69', 'texture_worst': '21.84', 'perimeter_worst': '152.1', 'area_worst': '1535', 'smoothness_worst': '0.1192', 'compactness_worst': '0.284', 'concavity_worst': '0.4024', 'concave points_worst': '0.1966', 'symmetry_worst': '0.273', 'fractal_dimension_worst': '0.08666'}
{'id': '901288', 'diagnosis': 'M', 'radius_mean': '20.64', 'texture_mean': '17.35', 'perimeter_mean': '134.8', 'area_mean': '1335', 'smoothness_mean': '0.09446', 'compactness_mean': '0.1076', 'concavity_mean': '0.1527', 'concave points_mean': '0.08941', 'symmetry_mean': '0.1571', 'fractal_dimension_mean': '0.05478', 'radius_se': '0.6137', 'texture_se': '0.6575', 'perimeter_se': '4.119', 'area_se': '77.02', 'smoothness_se': '0.006211', 'compactness_se': '0.01895', 'concavity_se': '0.02681', 'concave points_se': '0.01232', 'symmetry_se': '0.01276', 'fractal_dimension_se': '0.001711', 'radius_worst': '25.37', 'texture_worst': '23.17', 'perimeter_worst': '166.8', 'area_worst': '1946', 'smoothness_worst': '0.1562', 'compactness_worst': '0.3055', 'concavity_worst': '0.4159', 'concave points_worst': '0.2112', 'symmetry_worst': '0.2689', 'fractal_dimension_worst': '0.07055'}
{'id': '9013005', 'diagnosis': 'B', 'radius_mean': '13.69', 'texture_mean': '16.07', 'perimeter_mean': '87.84', 'area_mean': '579.1', 'smoothness_mean': '0.08302', 'compactness_mean': '0.06374', 'concavity_mean': '0.02556', 'concave points_mean': '0.02031', 'symmetry_mean': '0.1872', 'fractal_dimension_mean': '0.05669', 'radius_se': '0.1705', 'texture_se': '0.5066', 'perimeter_se': '1.372', 'area_se': '14', 'smoothness_se': '0.00423', 'compactness_se': '0.01587', 'concavity_se': '0.01169', 'concave points_se': '0.006335', 'symmetry_se': '0.01943', 'fractal_dimension_se': '0.002177', 'radius_worst': '14.84', 'texture_worst': '20.21', 'perimeter_worst': '99.16', 'area_worst': '670.6', 'smoothness_worst': '0.1105', 'compactness_worst': '0.2096', 'concavity_worst': '0.1346', 'concave points_worst': '0.06987', 'symmetry_worst': '0.3323', 'fractal_dimension_worst': '0.07701'}
{'id': '901303', 'diagnosis': 'B', 'radius_mean': '16.17', 'texture_mean': '16.07', 'perimeter_mean': '106.3', 'area_mean': '788.5', 'smoothness_mean': '0.0988', 'compactness_mean': '0.1438', 'concavity_mean': '0.06651', 'concave points_mean': '0.05397', 'symmetry_mean': '0.199', 'fractal_dimension_mean': '0.06572', 'radius_se': '0.1745', 'texture_se': '0.489', 'perimeter_se': '1.349', 'area_se': '14.91', 'smoothness_se': '0.00451', 'compactness_se': '0.01812', 'concavity_se': '0.01951', 'concave points_se': '0.01196', 'symmetry_se': '0.01934', 'fractal_dimension_se': '0.003696', 'radius_worst': '16.97', 'texture_worst': '19.14', 'perimeter_worst': '113.1', 'area_worst': '861.5', 'smoothness_worst': '0.1235', 'compactness_worst': '0.255', 'concavity_worst': '0.2114', 'concave points_worst': '0.1251', 'symmetry_worst': '0.3153', 'fractal_dimension_worst': '0.0896'}
{'id': '901315', 'diagnosis': 'B', 'radius_mean': '10.57', 'texture_mean': '20.22', 'perimeter_mean': '70.15', 'area_mean': '338.3', 'smoothness_mean': '0.09073', 'compactness_mean': '0.166', 'concavity_mean': '0.228', 'concave points_mean': '0.05941', 'symmetry_mean': '0.2188', 'fractal_dimension_mean': '0.0845', 'radius_se': '0.1115', 'texture_se': '1.231', 'perimeter_se': '2.363', 'area_se': '7.228', 'smoothness_se': '0.008499', 'compactness_se': '0.07643', 'concavity_se': '0.1535', 'concave points_se': '0.02919', 'symmetry_se': '0.01617', 'fractal_dimension_se': '0.0122', 'radius_worst': '10.85', 'texture_worst': '22.82', 'perimeter_worst': '76.51', 'area_worst': '351.9', 'smoothness_worst': '0.1143', 'compactness_worst': '0.3619', 'concavity_worst': '0.603', 'concave points_worst': '0.1465', 'symmetry_worst': '0.2597', 'fractal_dimension_worst': '0.12'}
{'id': '9013579', 'diagnosis': 'B', 'radius_mean': '13.46', 'texture_mean': '28.21', 'perimeter_mean': '85.89', 'area_mean': '562.1', 'smoothness_mean': '0.07517', 'compactness_mean': '0.04726', 'concavity_mean': '0.01271', 'concave points_mean': '0.01117', 'symmetry_mean': '0.1421', 'fractal_dimension_mean': '0.05763', 'radius_se': '0.1689', 'texture_se': '1.15', 'perimeter_se': '1.4', 'area_se': '14.91', 'smoothness_se': '0.004942', 'compactness_se': '0.01203', 'concavity_se': '0.007508', 'concave points_se': '0.005179', 'symmetry_se': '0.01442', 'fractal_dimension_se': '0.001684', 'radius_worst': '14.69', 'texture_worst': '35.63', 'perimeter_worst': '97.11', 'area_worst': '680.6', 'smoothness_worst': '0.1108', 'compactness_worst': '0.1457', 'concavity_worst': '0.07934', 'concave points_worst': '0.05781', 'symmetry_worst': '0.2694', 'fractal_dimension_worst': '0.07061'}
{'id': '9013594', 'diagnosis': 'B', 'radius_mean': '13.66', 'texture_mean': '15.15', 'perimeter_mean': '88.27', 'area_mean': '580.6', 'smoothness_mean': '0.08268', 'compactness_mean': '0.07548', 'concavity_mean': '0.04249', 'concave points_mean': '0.02471', 'symmetry_mean': '0.1792', 'fractal_dimension_mean': '0.05897', 'radius_se': '0.1402', 'texture_se': '0.5417', 'perimeter_se': '1.101', 'area_se': '11.35', 'smoothness_se': '0.005212', 'compactness_se': '0.02984', 'concavity_se': '0.02443', 'concave points_se': '0.008356', 'symmetry_se': '0.01818', 'fractal_dimension_se': '0.004868', 'radius_worst': '14.54', 'texture_worst': '19.64', 'perimeter_worst': '97.96', 'area_worst': '657', 'smoothness_worst': '0.1275', 'compactness_worst': '0.3104', 'concavity_worst': '0.2569', 'concave points_worst': '0.1054', 'symmetry_worst': '0.3387', 'fractal_dimension_worst': '0.09638'}
{'id': '9013838', 'diagnosis': 'M', 'radius_mean': '11.08', 'texture_mean': '18.83', 'perimeter_mean': '73.3', 'area_mean': '361.6', 'smoothness_mean': '0.1216', 'compactness_mean': '0.2154', 'concavity_mean': '0.1689', 'concave points_mean': '0.06367', 'symmetry_mean': '0.2196', 'fractal_dimension_mean': '0.0795', 'radius_se': '0.2114', 'texture_se': '1.027', 'perimeter_se': '1.719', 'area_se': '13.99', 'smoothness_se': '0.007405', 'compactness_se': '0.04549', 'concavity_se': '0.04588', 'concave points_se': '0.01339', 'symmetry_se': '0.01738', 'fractal_dimension_se': '0.004435', 'radius_worst': '13.24', 'texture_worst': '32.82', 'perimeter_worst': '91.76', 'area_worst': '508.1', 'smoothness_worst': '0.2184', 'compactness_worst': '0.9379', 'concavity_worst': '0.8402', 'concave points_worst': '0.2524', 'symmetry_worst': '0.4154', 'fractal_dimension_worst': '0.1403'}
{'id': '901549', 'diagnosis': 'B', 'radius_mean': '11.27', 'texture_mean': '12.96', 'perimeter_mean': '73.16', 'area_mean': '386.3', 'smoothness_mean': '0.1237', 'compactness_mean': '0.1111', 'concavity_mean': '0.079', 'concave points_mean': '0.0555', 'symmetry_mean': '0.2018', 'fractal_dimension_mean': '0.06914', 'radius_se': '0.2562', 'texture_se': '0.9858', 'perimeter_se': '1.809', 'area_se': '16.04', 'smoothness_se': '0.006635', 'compactness_se': '0.01777', 'concavity_se': '0.02101', 'concave points_se': '0.01164', 'symmetry_se': '0.02108', 'fractal_dimension_se': '0.003721', 'radius_worst': '12.84', 'texture_worst': '20.53', 'perimeter_worst': '84.93', 'area_worst': '476.1', 'smoothness_worst': '0.161', 'compactness_worst': '0.2429', 'concavity_worst': '0.2247', 'concave points_worst': '0.1318', 'symmetry_worst': '0.3343', 'fractal_dimension_worst': '0.09215'}
{'id': '901836', 'diagnosis': 'B', 'radius_mean': '11.04', 'texture_mean': '14.93', 'perimeter_mean': '70.67', 'area_mean': '372.7', 'smoothness_mean': '0.07987', 'compactness_mean': '0.07079', 'concavity_mean': '0.03546', 'concave points_mean': '0.02074', 'symmetry_mean': '0.2003', 'fractal_dimension_mean': '0.06246', 'radius_se': '0.1642', 'texture_se': '1.031', 'perimeter_se': '1.281', 'area_se': '11.68', 'smoothness_se': '0.005296', 'compactness_se': '0.01903', 'concavity_se': '0.01723', 'concave points_se': '0.00696', 'symmetry_se': '0.0188', 'fractal_dimension_se': '0.001941', 'radius_worst': '12.09', 'texture_worst': '20.83', 'perimeter_worst': '79.73', 'area_worst': '447.1', 'smoothness_worst': '0.1095', 'compactness_worst': '0.1982', 'concavity_worst': '0.1553', 'concave points_worst': '0.06754', 'symmetry_worst': '0.3202', 'fractal_dimension_worst': '0.07287'}
{'id': '90250', 'diagnosis': 'B', 'radius_mean': '12.05', 'texture_mean': '22.72', 'perimeter_mean': '78.75', 'area_mean': '447.8', 'smoothness_mean': '0.06935', 'compactness_mean': '0.1073', 'concavity_mean': '0.07943', 'concave points_mean': '0.02978', 'symmetry_mean': '0.1203', 'fractal_dimension_mean': '0.06659', 'radius_se': '0.1194', 'texture_se': '1.434', 'perimeter_se': '1.778', 'area_se': '9.549', 'smoothness_se': '0.005042', 'compactness_se': '0.0456', 'concavity_se': '0.04305', 'concave points_se': '0.01667', 'symmetry_se': '0.0247', 'fractal_dimension_se': '0.007358', 'radius_worst': '12.57', 'texture_worst': '28.71', 'perimeter_worst': '87.36', 'area_worst': '488.4', 'smoothness_worst': '0.08799', 'compactness_worst': '0.3214', 'concavity_worst': '0.2912', 'concave points_worst': '0.1092', 'symmetry_worst': '0.2191', 'fractal_dimension_worst': '0.09349'}
{'id': '90251', 'diagnosis': 'B', 'radius_mean': '12.39', 'texture_mean': '17.48', 'perimeter_mean': '80.64', 'area_mean': '462.9', 'smoothness_mean': '0.1042', 'compactness_mean': '0.1297', 'concavity_mean': '0.05892', 'concave points_mean': '0.0288', 'symmetry_mean': '0.1779', 'fractal_dimension_mean': '0.06588', 'radius_se': '0.2608', 'texture_se': '0.873', 'perimeter_se': '2.117', 'area_se': '19.2', 'smoothness_se': '0.006715', 'compactness_se': '0.03705', 'concavity_se': '0.04757', 'concave points_se': '0.01051', 'symmetry_se': '0.01838', 'fractal_dimension_se': '0.006884', 'radius_worst': '14.18', 'texture_worst': '23.13', 'perimeter_worst': '95.23', 'area_worst': '600.5', 'smoothness_worst': '0.1427', 'compactness_worst': '0.3593', 'concavity_worst': '0.3206', 'concave points_worst': '0.09804', 'symmetry_worst': '0.2819', 'fractal_dimension_worst': '0.1118'}
{'id': '902727', 'diagnosis': 'B', 'radius_mean': '13.28', 'texture_mean': '13.72', 'perimeter_mean': '85.79', 'area_mean': '541.8', 'smoothness_mean': '0.08363', 'compactness_mean': '0.08575', 'concavity_mean': '0.05077', 'concave points_mean': '0.02864', 'symmetry_mean': '0.1617', 'fractal_dimension_mean': '0.05594', 'radius_se': '0.1833', 'texture_se': '0.5308', 'perimeter_se': '1.592', 'area_se': '15.26', 'smoothness_se': '0.004271', 'compactness_se': '0.02073', 'concavity_se': '0.02828', 'concave points_se': '0.008468', 'symmetry_se': '0.01461', 'fractal_dimension_se': '0.002613', 'radius_worst': '14.24', 'texture_worst': '17.37', 'perimeter_worst': '96.59', 'area_worst': '623.7', 'smoothness_worst': '0.1166', 'compactness_worst': '0.2685', 'concavity_worst': '0.2866', 'concave points_worst': '0.09173', 'symmetry_worst': '0.2736', 'fractal_dimension_worst': '0.0732'}
{'id': '90291', 'diagnosis': 'M', 'radius_mean': '14.6', 'texture_mean': '23.29', 'perimeter_mean': '93.97', 'area_mean': '664.7', 'smoothness_mean': '0.08682', 'compactness_mean': '0.06636', 'concavity_mean': '0.0839', 'concave points_mean': '0.05271', 'symmetry_mean': '0.1627', 'fractal_dimension_mean': '0.05416', 'radius_se': '0.4157', 'texture_se': '1.627', 'perimeter_se': '2.914', 'area_se': '33.01', 'smoothness_se': '0.008312', 'compactness_se': '0.01742', 'concavity_se': '0.03389', 'concave points_se': '0.01576', 'symmetry_se': '0.0174', 'fractal_dimension_se': '0.002871', 'radius_worst': '15.79', 'texture_worst': '31.71', 'perimeter_worst': '102.2', 'area_worst': '758.2', 'smoothness_worst': '0.1312', 'compactness_worst': '0.1581', 'concavity_worst': '0.2675', 'concave points_worst': '0.1359', 'symmetry_worst': '0.2477', 'fractal_dimension_worst': '0.06836'}
{'id': '902975', 'diagnosis': 'B', 'radius_mean': '12.21', 'texture_mean': '14.09', 'perimeter_mean': '78.78', 'area_mean': '462', 'smoothness_mean': '0.08108', 'compactness_mean': '0.07823', 'concavity_mean': '0.06839', 'concave points_mean': '0.02534', 'symmetry_mean': '0.1646', 'fractal_dimension_mean': '0.06154', 'radius_se': '0.2666', 'texture_se': '0.8309', 'perimeter_se': '2.097', 'area_se': '19.96', 'smoothness_se': '0.004405', 'compactness_se': '0.03026', 'concavity_se': '0.04344', 'concave points_se': '0.01087', 'symmetry_se': '0.01921', 'fractal_dimension_se': '0.004622', 'radius_worst': '13.13', 'texture_worst': '19.29', 'perimeter_worst': '87.65', 'area_worst': '529.9', 'smoothness_worst': '0.1026', 'compactness_worst': '0.2431', 'concavity_worst': '0.3076', 'concave points_worst': '0.0914', 'symmetry_worst': '0.2677', 'fractal_dimension_worst': '0.08824'}
{'id': '902976', 'diagnosis': 'B', 'radius_mean': '13.88', 'texture_mean': '16.16', 'perimeter_mean': '88.37', 'area_mean': '596.6', 'smoothness_mean': '0.07026', 'compactness_mean': '0.04831', 'concavity_mean': '0.02045', 'concave points_mean': '0.008507', 'symmetry_mean': '0.1607', 'fractal_dimension_mean': '0.05474', 'radius_se': '0.2541', 'texture_se': '0.6218', 'perimeter_se': '1.709', 'area_se': '23.12', 'smoothness_se': '0.003728', 'compactness_se': '0.01415', 'concavity_se': '0.01988', 'concave points_se': '0.007016', 'symmetry_se': '0.01647', 'fractal_dimension_se': '0.00197', 'radius_worst': '15.51', 'texture_worst': '19.97', 'perimeter_worst': '99.66', 'area_worst': '745.3', 'smoothness_worst': '0.08484', 'compactness_worst': '0.1233', 'concavity_worst': '0.1091', 'concave points_worst': '0.04537', 'symmetry_worst': '0.2542', 'fractal_dimension_worst': '0.06623'}
{'id': '903011', 'diagnosis': 'B', 'radius_mean': '11.27', 'texture_mean': '15.5', 'perimeter_mean': '73.38', 'area_mean': '392', 'smoothness_mean': '0.08365', 'compactness_mean': '0.1114', 'concavity_mean': '0.1007', 'concave points_mean': '0.02757', 'symmetry_mean': '0.181', 'fractal_dimension_mean': '0.07252', 'radius_se': '0.3305', 'texture_se': '1.067', 'perimeter_se': '2.569', 'area_se': '22.97', 'smoothness_se': '0.01038', 'compactness_se': '0.06669', 'concavity_se': '0.09472', 'concave points_se': '0.02047', 'symmetry_se': '0.01219', 'fractal_dimension_se': '0.01233', 'radius_worst': '12.04', 'texture_worst': '18.93', 'perimeter_worst': '79.73', 'area_worst': '450', 'smoothness_worst': '0.1102', 'compactness_worst': '0.2809', 'concavity_worst': '0.3021', 'concave points_worst': '0.08272', 'symmetry_worst': '0.2157', 'fractal_dimension_worst': '0.1043'}
{'id': '90312', 'diagnosis': 'M', 'radius_mean': '19.55', 'texture_mean': '23.21', 'perimeter_mean': '128.9', 'area_mean': '1174', 'smoothness_mean': '0.101', 'compactness_mean': '0.1318', 'concavity_mean': '0.1856', 'concave points_mean': '0.1021', 'symmetry_mean': '0.1989', 'fractal_dimension_mean': '0.05884', 'radius_se': '0.6107', 'texture_se': '2.836', 'perimeter_se': '5.383', 'area_se': '70.1', 'smoothness_se': '0.01124', 'compactness_se': '0.04097', 'concavity_se': '0.07469', 'concave points_se': '0.03441', 'symmetry_se': '0.02768', 'fractal_dimension_se': '0.00624', 'radius_worst': '20.82', 'texture_worst': '30.44', 'perimeter_worst': '142', 'area_worst': '1313', 'smoothness_worst': '0.1251', 'compactness_worst': '0.2414', 'concavity_worst': '0.3829', 'concave points_worst': '0.1825', 'symmetry_worst': '0.2576', 'fractal_dimension_worst': '0.07602'}
{'id': '90317302', 'diagnosis': 'B', 'radius_mean': '10.26', 'texture_mean': '12.22', 'perimeter_mean': '65.75', 'area_mean': '321.6', 'smoothness_mean': '0.09996', 'compactness_mean': '0.07542', 'concavity_mean': '0.01923', 'concave points_mean': '0.01968', 'symmetry_mean': '0.18', 'fractal_dimension_mean': '0.06569', 'radius_se': '0.1911', 'texture_se': '0.5477', 'perimeter_se': '1.348', 'area_se': '11.88', 'smoothness_se': '0.005682', 'compactness_se': '0.01365', 'concavity_se': '0.008496', 'concave points_se': '0.006929', 'symmetry_se': '0.01938', 'fractal_dimension_se': '0.002371', 'radius_worst': '11.38', 'texture_worst': '15.65', 'perimeter_worst': '73.23', 'area_worst': '394.5', 'smoothness_worst': '0.1343', 'compactness_worst': '0.165', 'concavity_worst': '0.08615', 'concave points_worst': '0.06696', 'symmetry_worst': '0.2937', 'fractal_dimension_worst': '0.07722'}
{'id': '903483', 'diagnosis': 'B', 'radius_mean': '8.734', 'texture_mean': '16.84', 'perimeter_mean': '55.27', 'area_mean': '234.3', 'smoothness_mean': '0.1039', 'compactness_mean': '0.07428', 'concavity_mean': '0', 'concave points_mean': '0', 'symmetry_mean': '0.1985', 'fractal_dimension_mean': '0.07098', 'radius_se': '0.5169', 'texture_se': '2.079', 'perimeter_se': '3.167', 'area_se': '28.85', 'smoothness_se': '0.01582', 'compactness_se': '0.01966', 'concavity_se': '0', 'concave points_se': '0', 'symmetry_se': '0.01865', 'fractal_dimension_se': '0.006736', 'radius_worst': '10.17', 'texture_worst': '22.8', 'perimeter_worst': '64.01', 'area_worst': '317', 'smoothness_worst': '0.146', 'compactness_worst': '0.131', 'concavity_worst': '0', 'concave points_worst': '0', 'symmetry_worst': '0.2445', 'fractal_dimension_worst': '0.08865'}
{'id': '903507', 'diagnosis': 'M', 'radius_mean': '15.49', 'texture_mean': '19.97', 'perimeter_mean': '102.4', 'area_mean': '744.7', 'smoothness_mean': '0.116', 'compactness_mean': '0.1562', 'concavity_mean': '0.1891', 'concave points_mean': '0.09113', 'symmetry_mean': '0.1929', 'fractal_dimension_mean': '0.06744', 'radius_se': '0.647', 'texture_se': '1.331', 'perimeter_se': '4.675', 'area_se': '66.91', 'smoothness_se': '0.007269', 'compactness_se': '0.02928', 'concavity_se': '0.04972', 'concave points_se': '0.01639', 'symmetry_se': '0.01852', 'fractal_dimension_se': '0.004232', 'radius_worst': '21.2', 'texture_worst': '29.41', 'perimeter_worst': '142.1', 'area_worst': '1359', 'smoothness_worst': '0.1681', 'compactness_worst': '0.3913', 'concavity_worst': '0.5553', 'concave points_worst': '0.2121', 'symmetry_worst': '0.3187', 'fractal_dimension_worst': '0.1019'}
{'id': '903516', 'diagnosis': 'M', 'radius_mean': '21.61', 'texture_mean': '22.28', 'perimeter_mean': '144.4', 'area_mean': '1407', 'smoothness_mean': '0.1167', 'compactness_mean': '0.2087', 'concavity_mean': '0.281', 'concave points_mean': '0.1562', 'symmetry_mean': '0.2162', 'fractal_dimension_mean': '0.06606', 'radius_se': '0.6242', 'texture_se': '0.9209', 'perimeter_se': '4.158', 'area_se': '80.99', 'smoothness_se': '0.005215', 'compactness_se': '0.03726', 'concavity_se': '0.04718', 'concave points_se': '0.01288', 'symmetry_se': '0.02045', 'fractal_dimension_se': '0.004028', 'radius_worst': '26.23', 'texture_worst': '28.74', 'perimeter_worst': '172', 'area_worst': '2081', 'smoothness_worst': '0.1502', 'compactness_worst': '0.5717', 'concavity_worst': '0.7053', 'concave points_worst': '0.2422', 'symmetry_worst': '0.3828', 'fractal_dimension_worst': '0.1007'}
{'id': '903554', 'diagnosis': 'B', 'radius_mean': '12.1', 'texture_mean': '17.72', 'perimeter_mean': '78.07', 'area_mean': '446.2', 'smoothness_mean': '0.1029', 'compactness_mean': '0.09758', 'concavity_mean': '0.04783', 'concave points_mean': '0.03326', 'symmetry_mean': '0.1937', 'fractal_dimension_mean': '0.06161', 'radius_se': '0.2841', 'texture_se': '1.652', 'perimeter_se': '1.869', 'area_se': '22.22', 'smoothness_se': '0.008146', 'compactness_se': '0.01631', 'concavity_se': '0.01843', 'concave points_se': '0.007513', 'symmetry_se': '0.02015', 'fractal_dimension_se': '0.001798', 'radius_worst': '13.56', 'texture_worst': '25.8', 'perimeter_worst': '88.33', 'area_worst': '559.5', 'smoothness_worst': '0.1432', 'compactness_worst': '0.1773', 'concavity_worst': '0.1603', 'concave points_worst': '0.06266', 'symmetry_worst': '0.3049', 'fractal_dimension_worst': '0.07081'}
{'id': '903811', 'diagnosis': 'B', 'radius_mean': '14.06', 'texture_mean': '17.18', 'perimeter_mean': '89.75', 'area_mean': '609.1', 'smoothness_mean': '0.08045', 'compactness_mean': '0.05361', 'concavity_mean': '0.02681', 'concave points_mean': '0.03251', 'symmetry_mean': '0.1641', 'fractal_dimension_mean': '0.05764', 'radius_se': '0.1504', 'texture_se': '1.685', 'perimeter_se': '1.237', 'area_se': '12.67', 'smoothness_se': '0.005371', 'compactness_se': '0.01273', 'concavity_se': '0.01132', 'concave points_se': '0.009155', 'symmetry_se': '0.01719', 'fractal_dimension_se': '0.001444', 'radius_worst': '14.92', 'texture_worst': '25.34', 'perimeter_worst': '96.42', 'area_worst': '684.5', 'smoothness_worst': '0.1066', 'compactness_worst': '0.1231', 'concavity_worst': '0.0846', 'concave points_worst': '0.07911', 'symmetry_worst': '0.2523', 'fractal_dimension_worst': '0.06609'}
{'id': '90401601', 'diagnosis': 'B', 'radius_mean': '13.51', 'texture_mean': '18.89', 'perimeter_mean': '88.1', 'area_mean': '558.1', 'smoothness_mean': '0.1059', 'compactness_mean': '0.1147', 'concavity_mean': '0.0858', 'concave points_mean': '0.05381', 'symmetry_mean': '0.1806', 'fractal_dimension_mean': '0.06079', 'radius_se': '0.2136', 'texture_se': '1.332', 'perimeter_se': '1.513', 'area_se': '19.29', 'smoothness_se': '0.005442', 'compactness_se': '0.01957', 'concavity_se': '0.03304', 'concave points_se': '0.01367', 'symmetry_se': '0.01315', 'fractal_dimension_se': '0.002464', 'radius_worst': '14.8', 'texture_worst': '27.2', 'perimeter_worst': '97.33', 'area_worst': '675.2', 'smoothness_worst': '0.1428', 'compactness_worst': '0.257', 'concavity_worst': '0.3438', 'concave points_worst': '0.1453', 'symmetry_worst': '0.2666', 'fractal_dimension_worst': '0.07686'}
{'id': '90401602', 'diagnosis': 'B', 'radius_mean': '12.8', 'texture_mean': '17.46', 'perimeter_mean': '83.05', 'area_mean': '508.3', 'smoothness_mean': '0.08044', 'compactness_mean': '0.08895', 'concavity_mean': '0.0739', 'concave points_mean': '0.04083', 'symmetry_mean': '0.1574', 'fractal_dimension_mean': '0.0575', 'radius_se': '0.3639', 'texture_se': '1.265', 'perimeter_se': '2.668', 'area_se': '30.57', 'smoothness_se': '0.005421', 'compactness_se': '0.03477', 'concavity_se': '0.04545', 'concave points_se': '0.01384', 'symmetry_se': '0.01869', 'fractal_dimension_se': '0.004067', 'radius_worst': '13.74', 'texture_worst': '21.06', 'perimeter_worst': '90.72', 'area_worst': '591', 'smoothness_worst': '0.09534', 'compactness_worst': '0.1812', 'concavity_worst': '0.1901', 'concave points_worst': '0.08296', 'symmetry_worst': '0.1988', 'fractal_dimension_worst': '0.07053'}
{'id': '904302', 'diagnosis': 'B', 'radius_mean': '11.06', 'texture_mean': '14.83', 'perimeter_mean': '70.31', 'area_mean': '378.2', 'smoothness_mean': '0.07741', 'compactness_mean': '0.04768', 'concavity_mean': '0.02712', 'concave points_mean': '0.007246', 'symmetry_mean': '0.1535', 'fractal_dimension_mean': '0.06214', 'radius_se': '0.1855', 'texture_se': '0.6881', 'perimeter_se': '1.263', 'area_se': '12.98', 'smoothness_se': '0.004259', 'compactness_se': '0.01469', 'concavity_se': '0.0194', 'concave points_se': '0.004168', 'symmetry_se': '0.01191', 'fractal_dimension_se': '0.003537', 'radius_worst': '12.68', 'texture_worst': '20.35', 'perimeter_worst': '80.79', 'area_worst': '496.7', 'smoothness_worst': '0.112', 'compactness_worst': '0.1879', 'concavity_worst': '0.2079', 'concave points_worst': '0.05556', 'symmetry_worst': '0.259', 'fractal_dimension_worst': '0.09158'}
{'id': '904357', 'diagnosis': 'B', 'radius_mean': '11.8', 'texture_mean': '17.26', 'perimeter_mean': '75.26', 'area_mean': '431.9', 'smoothness_mean': '0.09087', 'compactness_mean': '0.06232', 'concavity_mean': '0.02853', 'concave points_mean': '0.01638', 'symmetry_mean': '0.1847', 'fractal_dimension_mean': '0.06019', 'radius_se': '0.3438', 'texture_se': '1.14', 'perimeter_se': '2.225', 'area_se': '25.06', 'smoothness_se': '0.005463', 'compactness_se': '0.01964', 'concavity_se': '0.02079', 'concave points_se': '0.005398', 'symmetry_se': '0.01477', 'fractal_dimension_se': '0.003071', 'radius_worst': '13.45', 'texture_worst': '24.49', 'perimeter_worst': '86', 'area_worst': '562', 'smoothness_worst': '0.1244', 'compactness_worst': '0.1726', 'concavity_worst': '0.1449', 'concave points_worst': '0.05356', 'symmetry_worst': '0.2779', 'fractal_dimension_worst': '0.08121'}
{'id': '90439701', 'diagnosis': 'M', 'radius_mean': '17.91', 'texture_mean': '21.02', 'perimeter_mean': '124.4', 'area_mean': '994', 'smoothness_mean': '0.123', 'compactness_mean': '0.2576', 'concavity_mean': '0.3189', 'concave points_mean': '0.1198', 'symmetry_mean': '0.2113', 'fractal_dimension_mean': '0.07115', 'radius_se': '0.403', 'texture_se': '0.7747', 'perimeter_se': '3.123', 'area_se': '41.51', 'smoothness_se': '0.007159', 'compactness_se': '0.03718', 'concavity_se': '0.06165', 'concave points_se': '0.01051', 'symmetry_se': '0.01591', 'fractal_dimension_se': '0.005099', 'radius_worst': '20.8', 'texture_worst': '27.78', 'perimeter_worst': '149.6', 'area_worst': '1304', 'smoothness_worst': '0.1873', 'compactness_worst': '0.5917', 'concavity_worst': '0.9034', 'concave points_worst': '0.1964', 'symmetry_worst': '0.3245', 'fractal_dimension_worst': '0.1198'}
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{'id': '904689', 'diagnosis': 'B', 'radius_mean': '12.96', 'texture_mean': '18.29', 'perimeter_mean': '84.18', 'area_mean': '525.2', 'smoothness_mean': '0.07351', 'compactness_mean': '0.07899', 'concavity_mean': '0.04057', 'concave points_mean': '0.01883', 'symmetry_mean': '0.1874', 'fractal_dimension_mean': '0.05899', 'radius_se': '0.2357', 'texture_se': '1.299', 'perimeter_se': '2.397', 'area_se': '20.21', 'smoothness_se': '0.003629', 'compactness_se': '0.03713', 'concavity_se': '0.03452', 'concave points_se': '0.01065', 'symmetry_se': '0.02632', 'fractal_dimension_se': '0.003705', 'radius_worst': '14.13', 'texture_worst': '24.61', 'perimeter_worst': '96.31', 'area_worst': '621.9', 'smoothness_worst': '0.09329', 'compactness_worst': '0.2318', 'concavity_worst': '0.1604', 'concave points_worst': '0.06608', 'symmetry_worst': '0.3207', 'fractal_dimension_worst': '0.07247'}
{'id': '9047', 'diagnosis': 'B', 'radius_mean': '12.94', 'texture_mean': '16.17', 'perimeter_mean': '83.18', 'area_mean': '507.6', 'smoothness_mean': '0.09879', 'compactness_mean': '0.08836', 'concavity_mean': '0.03296', 'concave points_mean': '0.0239', 'symmetry_mean': '0.1735', 'fractal_dimension_mean': '0.062', 'radius_se': '0.1458', 'texture_se': '0.905', 'perimeter_se': '0.9975', 'area_se': '11.36', 'smoothness_se': '0.002887', 'compactness_se': '0.01285', 'concavity_se': '0.01613', 'concave points_se': '0.007308', 'symmetry_se': '0.0187', 'fractal_dimension_se': '0.001972', 'radius_worst': '13.86', 'texture_worst': '23.02', 'perimeter_worst': '89.69', 'area_worst': '580.9', 'smoothness_worst': '0.1172', 'compactness_worst': '0.1958', 'concavity_worst': '0.181', 'concave points_worst': '0.08388', 'symmetry_worst': '0.3297', 'fractal_dimension_worst': '0.07834'}
{'id': '904969', 'diagnosis': 'B', 'radius_mean': '12.34', 'texture_mean': '14.95', 'perimeter_mean': '78.29', 'area_mean': '469.1', 'smoothness_mean': '0.08682', 'compactness_mean': '0.04571', 'concavity_mean': '0.02109', 'concave points_mean': '0.02054', 'symmetry_mean': '0.1571', 'fractal_dimension_mean': '0.05708', 'radius_se': '0.3833', 'texture_se': '0.9078', 'perimeter_se': '2.602', 'area_se': '30.15', 'smoothness_se': '0.007702', 'compactness_se': '0.008491', 'concavity_se': '0.01307', 'concave points_se': '0.0103', 'symmetry_se': '0.0297', 'fractal_dimension_se': '0.001432', 'radius_worst': '13.18', 'texture_worst': '16.85', 'perimeter_worst': '84.11', 'area_worst': '533.1', 'smoothness_worst': '0.1048', 'compactness_worst': '0.06744', 'concavity_worst': '0.04921', 'concave points_worst': '0.04793', 'symmetry_worst': '0.2298', 'fractal_dimension_worst': '0.05974'}
{'id': '904971', 'diagnosis': 'B', 'radius_mean': '10.94', 'texture_mean': '18.59', 'perimeter_mean': '70.39', 'area_mean': '370', 'smoothness_mean': '0.1004', 'compactness_mean': '0.0746', 'concavity_mean': '0.04944', 'concave points_mean': '0.02932', 'symmetry_mean': '0.1486', 'fractal_dimension_mean': '0.06615', 'radius_se': '0.3796', 'texture_se': '1.743', 'perimeter_se': '3.018', 'area_se': '25.78', 'smoothness_se': '0.009519', 'compactness_se': '0.02134', 'concavity_se': '0.0199', 'concave points_se': '0.01155', 'symmetry_se': '0.02079', 'fractal_dimension_se': '0.002701', 'radius_worst': '12.4', 'texture_worst': '25.58', 'perimeter_worst': '82.76', 'area_worst': '472.4', 'smoothness_worst': '0.1363', 'compactness_worst': '0.1644', 'concavity_worst': '0.1412', 'concave points_worst': '0.07887', 'symmetry_worst': '0.2251', 'fractal_dimension_worst': '0.07732'}
{'id': '905189', 'diagnosis': 'B', 'radius_mean': '16.14', 'texture_mean': '14.86', 'perimeter_mean': '104.3', 'area_mean': '800', 'smoothness_mean': '0.09495', 'compactness_mean': '0.08501', 'concavity_mean': '0.055', 'concave points_mean': '0.04528', 'symmetry_mean': '0.1735', 'fractal_dimension_mean': '0.05875', 'radius_se': '0.2387', 'texture_se': '0.6372', 'perimeter_se': '1.729', 'area_se': '21.83', 'smoothness_se': '0.003958', 'compactness_se': '0.01246', 'concavity_se': '0.01831', 'concave points_se': '0.008747', 'symmetry_se': '0.015', 'fractal_dimension_se': '0.001621', 'radius_worst': '17.71', 'texture_worst': '19.58', 'perimeter_worst': '115.9', 'area_worst': '947.9', 'smoothness_worst': '0.1206', 'compactness_worst': '0.1722', 'concavity_worst': '0.231', 'concave points_worst': '0.1129', 'symmetry_worst': '0.2778', 'fractal_dimension_worst': '0.07012'}
{'id': '905190', 'diagnosis': 'B', 'radius_mean': '12.85', 'texture_mean': '21.37', 'perimeter_mean': '82.63', 'area_mean': '514.5', 'smoothness_mean': '0.07551', 'compactness_mean': '0.08316', 'concavity_mean': '0.06126', 'concave points_mean': '0.01867', 'symmetry_mean': '0.158', 'fractal_dimension_mean': '0.06114', 'radius_se': '0.4993', 'texture_se': '1.798', 'perimeter_se': '2.552', 'area_se': '41.24', 'smoothness_se': '0.006011', 'compactness_se': '0.0448', 'concavity_se': '0.05175', 'concave points_se': '0.01341', 'symmetry_se': '0.02669', 'fractal_dimension_se': '0.007731', 'radius_worst': '14.4', 'texture_worst': '27.01', 'perimeter_worst': '91.63', 'area_worst': '645.8', 'smoothness_worst': '0.09402', 'compactness_worst': '0.1936', 'concavity_worst': '0.1838', 'concave points_worst': '0.05601', 'symmetry_worst': '0.2488', 'fractal_dimension_worst': '0.08151'}
{'id': '90524101', 'diagnosis': 'M', 'radius_mean': '17.99', 'texture_mean': '20.66', 'perimeter_mean': '117.8', 'area_mean': '991.7', 'smoothness_mean': '0.1036', 'compactness_mean': '0.1304', 'concavity_mean': '0.1201', 'concave points_mean': '0.08824', 'symmetry_mean': '0.1992', 'fractal_dimension_mean': '0.06069', 'radius_se': '0.4537', 'texture_se': '0.8733', 'perimeter_se': '3.061', 'area_se': '49.81', 'smoothness_se': '0.007231', 'compactness_se': '0.02772', 'concavity_se': '0.02509', 'concave points_se': '0.0148', 'symmetry_se': '0.01414', 'fractal_dimension_se': '0.003336', 'radius_worst': '21.08', 'texture_worst': '25.41', 'perimeter_worst': '138.1', 'area_worst': '1349', 'smoothness_worst': '0.1482', 'compactness_worst': '0.3735', 'concavity_worst': '0.3301', 'concave points_worst': '0.1974', 'symmetry_worst': '0.306', 'fractal_dimension_worst': '0.08503'}
{'id': '905501', 'diagnosis': 'B', 'radius_mean': '12.27', 'texture_mean': '17.92', 'perimeter_mean': '78.41', 'area_mean': '466.1', 'smoothness_mean': '0.08685', 'compactness_mean': '0.06526', 'concavity_mean': '0.03211', 'concave points_mean': '0.02653', 'symmetry_mean': '0.1966', 'fractal_dimension_mean': '0.05597', 'radius_se': '0.3342', 'texture_se': '1.781', 'perimeter_se': '2.079', 'area_se': '25.79', 'smoothness_se': '0.005888', 'compactness_se': '0.0231', 'concavity_se': '0.02059', 'concave points_se': '0.01075', 'symmetry_se': '0.02578', 'fractal_dimension_se': '0.002267', 'radius_worst': '14.1', 'texture_worst': '28.88', 'perimeter_worst': '89', 'area_worst': '610.2', 'smoothness_worst': '0.124', 'compactness_worst': '0.1795', 'concavity_worst': '0.1377', 'concave points_worst': '0.09532', 'symmetry_worst': '0.3455', 'fractal_dimension_worst': '0.06896'}
{'id': '905502', 'diagnosis': 'B', 'radius_mean': '11.36', 'texture_mean': '17.57', 'perimeter_mean': '72.49', 'area_mean': '399.8', 'smoothness_mean': '0.08858', 'compactness_mean': '0.05313', 'concavity_mean': '0.02783', 'concave points_mean': '0.021', 'symmetry_mean': '0.1601', 'fractal_dimension_mean': '0.05913', 'radius_se': '0.1916', 'texture_se': '1.555', 'perimeter_se': '1.359', 'area_se': '13.66', 'smoothness_se': '0.005391', 'compactness_se': '0.009947', 'concavity_se': '0.01163', 'concave points_se': '0.005872', 'symmetry_se': '0.01341', 'fractal_dimension_se': '0.001659', 'radius_worst': '13.05', 'texture_worst': '36.32', 'perimeter_worst': '85.07', 'area_worst': '521.3', 'smoothness_worst': '0.1453', 'compactness_worst': '0.1622', 'concavity_worst': '0.1811', 'concave points_worst': '0.08698', 'symmetry_worst': '0.2973', 'fractal_dimension_worst': '0.07745'}
{'id': '905520', 'diagnosis': 'B', 'radius_mean': '11.04', 'texture_mean': '16.83', 'perimeter_mean': '70.92', 'area_mean': '373.2', 'smoothness_mean': '0.1077', 'compactness_mean': '0.07804', 'concavity_mean': '0.03046', 'concave points_mean': '0.0248', 'symmetry_mean': '0.1714', 'fractal_dimension_mean': '0.0634', 'radius_se': '0.1967', 'texture_se': '1.387', 'perimeter_se': '1.342', 'area_se': '13.54', 'smoothness_se': '0.005158', 'compactness_se': '0.009355', 'concavity_se': '0.01056', 'concave points_se': '0.007483', 'symmetry_se': '0.01718', 'fractal_dimension_se': '0.002198', 'radius_worst': '12.41', 'texture_worst': '26.44', 'perimeter_worst': '79.93', 'area_worst': '471.4', 'smoothness_worst': '0.1369', 'compactness_worst': '0.1482', 'concavity_worst': '0.1067', 'concave points_worst': '0.07431', 'symmetry_worst': '0.2998', 'fractal_dimension_worst': '0.07881'}
{'id': '905539', 'diagnosis': 'B', 'radius_mean': '9.397', 'texture_mean': '21.68', 'perimeter_mean': '59.75', 'area_mean': '268.8', 'smoothness_mean': '0.07969', 'compactness_mean': '0.06053', 'concavity_mean': '0.03735', 'concave points_mean': '0.005128', 'symmetry_mean': '0.1274', 'fractal_dimension_mean': '0.06724', 'radius_se': '0.1186', 'texture_se': '1.182', 'perimeter_se': '1.174', 'area_se': '6.802', 'smoothness_se': '0.005515', 'compactness_se': '0.02674', 'concavity_se': '0.03735', 'concave points_se': '0.005128', 'symmetry_se': '0.01951', 'fractal_dimension_se': '0.004583', 'radius_worst': '9.965', 'texture_worst': '27.99', 'perimeter_worst': '66.61', 'area_worst': '301', 'smoothness_worst': '0.1086', 'compactness_worst': '0.1887', 'concavity_worst': '0.1868', 'concave points_worst': '0.02564', 'symmetry_worst': '0.2376', 'fractal_dimension_worst': '0.09206'}
{'id': '905557', 'diagnosis': 'B', 'radius_mean': '14.99', 'texture_mean': '22.11', 'perimeter_mean': '97.53', 'area_mean': '693.7', 'smoothness_mean': '0.08515', 'compactness_mean': '0.1025', 'concavity_mean': '0.06859', 'concave points_mean': '0.03876', 'symmetry_mean': '0.1944', 'fractal_dimension_mean': '0.05913', 'radius_se': '0.3186', 'texture_se': '1.336', 'perimeter_se': '2.31', 'area_se': '28.51', 'smoothness_se': '0.004449', 'compactness_se': '0.02808', 'concavity_se': '0.03312', 'concave points_se': '0.01196', 'symmetry_se': '0.01906', 'fractal_dimension_se': '0.004015', 'radius_worst': '16.76', 'texture_worst': '31.55', 'perimeter_worst': '110.2', 'area_worst': '867.1', 'smoothness_worst': '0.1077', 'compactness_worst': '0.3345', 'concavity_worst': '0.3114', 'concave points_worst': '0.1308', 'symmetry_worst': '0.3163', 'fractal_dimension_worst': '0.09251'}
{'id': '905680', 'diagnosis': 'M', 'radius_mean': '15.13', 'texture_mean': '29.81', 'perimeter_mean': '96.71', 'area_mean': '719.5', 'smoothness_mean': '0.0832', 'compactness_mean': '0.04605', 'concavity_mean': '0.04686', 'concave points_mean': '0.02739', 'symmetry_mean': '0.1852', 'fractal_dimension_mean': '0.05294', 'radius_se': '0.4681', 'texture_se': '1.627', 'perimeter_se': '3.043', 'area_se': '45.38', 'smoothness_se': '0.006831', 'compactness_se': '0.01427', 'concavity_se': '0.02489', 'concave points_se': '0.009087', 'symmetry_se': '0.03151', 'fractal_dimension_se': '0.00175', 'radius_worst': '17.26', 'texture_worst': '36.91', 'perimeter_worst': '110.1', 'area_worst': '931.4', 'smoothness_worst': '0.1148', 'compactness_worst': '0.09866', 'concavity_worst': '0.1547', 'concave points_worst': '0.06575', 'symmetry_worst': '0.3233', 'fractal_dimension_worst': '0.06165'}
{'id': '905686', 'diagnosis': 'B', 'radius_mean': '11.89', 'texture_mean': '21.17', 'perimeter_mean': '76.39', 'area_mean': '433.8', 'smoothness_mean': '0.09773', 'compactness_mean': '0.0812', 'concavity_mean': '0.02555', 'concave points_mean': '0.02179', 'symmetry_mean': '0.2019', 'fractal_dimension_mean': '0.0629', 'radius_se': '0.2747', 'texture_se': '1.203', 'perimeter_se': '1.93', 'area_se': '19.53', 'smoothness_se': '0.009895', 'compactness_se': '0.03053', 'concavity_se': '0.0163', 'concave points_se': '0.009276', 'symmetry_se': '0.02258', 'fractal_dimension_se': '0.002272', 'radius_worst': '13.05', 'texture_worst': '27.21', 'perimeter_worst': '85.09', 'area_worst': '522.9', 'smoothness_worst': '0.1426', 'compactness_worst': '0.2187', 'concavity_worst': '0.1164', 'concave points_worst': '0.08263', 'symmetry_worst': '0.3075', 'fractal_dimension_worst': '0.07351'}
{'id': '905978', 'diagnosis': 'B', 'radius_mean': '9.405', 'texture_mean': '21.7', 'perimeter_mean': '59.6', 'area_mean': '271.2', 'smoothness_mean': '0.1044', 'compactness_mean': '0.06159', 'concavity_mean': '0.02047', 'concave points_mean': '0.01257', 'symmetry_mean': '0.2025', 'fractal_dimension_mean': '0.06601', 'radius_se': '0.4302', 'texture_se': '2.878', 'perimeter_se': '2.759', 'area_se': '25.17', 'smoothness_se': '0.01474', 'compactness_se': '0.01674', 'concavity_se': '0.01367', 'concave points_se': '0.008674', 'symmetry_se': '0.03044', 'fractal_dimension_se': '0.00459', 'radius_worst': '10.85', 'texture_worst': '31.24', 'perimeter_worst': '68.73', 'area_worst': '359.4', 'smoothness_worst': '0.1526', 'compactness_worst': '0.1193', 'concavity_worst': '0.06141', 'concave points_worst': '0.0377', 'symmetry_worst': '0.2872', 'fractal_dimension_worst': '0.08304'}
{'id': '90602302', 'diagnosis': 'M', 'radius_mean': '15.5', 'texture_mean': '21.08', 'perimeter_mean': '102.9', 'area_mean': '803.1', 'smoothness_mean': '0.112', 'compactness_mean': '0.1571', 'concavity_mean': '0.1522', 'concave points_mean': '0.08481', 'symmetry_mean': '0.2085', 'fractal_dimension_mean': '0.06864', 'radius_se': '1.37', 'texture_se': '1.213', 'perimeter_se': '9.424', 'area_se': '176.5', 'smoothness_se': '0.008198', 'compactness_se': '0.03889', 'concavity_se': '0.04493', 'concave points_se': '0.02139', 'symmetry_se': '0.02018', 'fractal_dimension_se': '0.005815', 'radius_worst': '23.17', 'texture_worst': '27.65', 'perimeter_worst': '157.1', 'area_worst': '1748', 'smoothness_worst': '0.1517', 'compactness_worst': '0.4002', 'concavity_worst': '0.4211', 'concave points_worst': '0.2134', 'symmetry_worst': '0.3003', 'fractal_dimension_worst': '0.1048'}
{'id': '906024', 'diagnosis': 'B', 'radius_mean': '12.7', 'texture_mean': '12.17', 'perimeter_mean': '80.88', 'area_mean': '495', 'smoothness_mean': '0.08785', 'compactness_mean': '0.05794', 'concavity_mean': '0.0236', 'concave points_mean': '0.02402', 'symmetry_mean': '0.1583', 'fractal_dimension_mean': '0.06275', 'radius_se': '0.2253', 'texture_se': '0.6457', 'perimeter_se': '1.527', 'area_se': '17.37', 'smoothness_se': '0.006131', 'compactness_se': '0.01263', 'concavity_se': '0.009075', 'concave points_se': '0.008231', 'symmetry_se': '0.01713', 'fractal_dimension_se': '0.004414', 'radius_worst': '13.65', 'texture_worst': '16.92', 'perimeter_worst': '88.12', 'area_worst': '566.9', 'smoothness_worst': '0.1314', 'compactness_worst': '0.1607', 'concavity_worst': '0.09385', 'concave points_worst': '0.08224', 'symmetry_worst': '0.2775', 'fractal_dimension_worst': '0.09464'}
{'id': '906290', 'diagnosis': 'B', 'radius_mean': '11.16', 'texture_mean': '21.41', 'perimeter_mean': '70.95', 'area_mean': '380.3', 'smoothness_mean': '0.1018', 'compactness_mean': '0.05978', 'concavity_mean': '0.008955', 'concave points_mean': '0.01076', 'symmetry_mean': '0.1615', 'fractal_dimension_mean': '0.06144', 'radius_se': '0.2865', 'texture_se': '1.678', 'perimeter_se': '1.968', 'area_se': '18.99', 'smoothness_se': '0.006908', 'compactness_se': '0.009442', 'concavity_se': '0.006972', 'concave points_se': '0.006159', 'symmetry_se': '0.02694', 'fractal_dimension_se': '0.00206', 'radius_worst': '12.36', 'texture_worst': '28.92', 'perimeter_worst': '79.26', 'area_worst': '458', 'smoothness_worst': '0.1282', 'compactness_worst': '0.1108', 'concavity_worst': '0.03582', 'concave points_worst': '0.04306', 'symmetry_worst': '0.2976', 'fractal_dimension_worst': '0.07123'}
{'id': '906539', 'diagnosis': 'B', 'radius_mean': '11.57', 'texture_mean': '19.04', 'perimeter_mean': '74.2', 'area_mean': '409.7', 'smoothness_mean': '0.08546', 'compactness_mean': '0.07722', 'concavity_mean': '0.05485', 'concave points_mean': '0.01428', 'symmetry_mean': '0.2031', 'fractal_dimension_mean': '0.06267', 'radius_se': '0.2864', 'texture_se': '1.44', 'perimeter_se': '2.206', 'area_se': '20.3', 'smoothness_se': '0.007278', 'compactness_se': '0.02047', 'concavity_se': '0.04447', 'concave points_se': '0.008799', 'symmetry_se': '0.01868', 'fractal_dimension_se': '0.003339', 'radius_worst': '13.07', 'texture_worst': '26.98', 'perimeter_worst': '86.43', 'area_worst': '520.5', 'smoothness_worst': '0.1249', 'compactness_worst': '0.1937', 'concavity_worst': '0.256', 'concave points_worst': '0.06664', 'symmetry_worst': '0.3035', 'fractal_dimension_worst': '0.08284'}
{'id': '906564', 'diagnosis': 'B', 'radius_mean': '14.69', 'texture_mean': '13.98', 'perimeter_mean': '98.22', 'area_mean': '656.1', 'smoothness_mean': '0.1031', 'compactness_mean': '0.1836', 'concavity_mean': '0.145', 'concave points_mean': '0.063', 'symmetry_mean': '0.2086', 'fractal_dimension_mean': '0.07406', 'radius_se': '0.5462', 'texture_se': '1.511', 'perimeter_se': '4.795', 'area_se': '49.45', 'smoothness_se': '0.009976', 'compactness_se': '0.05244', 'concavity_se': '0.05278', 'concave points_se': '0.0158', 'symmetry_se': '0.02653', 'fractal_dimension_se': '0.005444', 'radius_worst': '16.46', 'texture_worst': '18.34', 'perimeter_worst': '114.1', 'area_worst': '809.2', 'smoothness_worst': '0.1312', 'compactness_worst': '0.3635', 'concavity_worst': '0.3219', 'concave points_worst': '0.1108', 'symmetry_worst': '0.2827', 'fractal_dimension_worst': '0.09208'}
{'id': '906616', 'diagnosis': 'B', 'radius_mean': '11.61', 'texture_mean': '16.02', 'perimeter_mean': '75.46', 'area_mean': '408.2', 'smoothness_mean': '0.1088', 'compactness_mean': '0.1168', 'concavity_mean': '0.07097', 'concave points_mean': '0.04497', 'symmetry_mean': '0.1886', 'fractal_dimension_mean': '0.0632', 'radius_se': '0.2456', 'texture_se': '0.7339', 'perimeter_se': '1.667', 'area_se': '15.89', 'smoothness_se': '0.005884', 'compactness_se': '0.02005', 'concavity_se': '0.02631', 'concave points_se': '0.01304', 'symmetry_se': '0.01848', 'fractal_dimension_se': '0.001982', 'radius_worst': '12.64', 'texture_worst': '19.67', 'perimeter_worst': '81.93', 'area_worst': '475.7', 'smoothness_worst': '0.1415', 'compactness_worst': '0.217', 'concavity_worst': '0.2302', 'concave points_worst': '0.1105', 'symmetry_worst': '0.2787', 'fractal_dimension_worst': '0.07427'}
{'id': '906878', 'diagnosis': 'B', 'radius_mean': '13.66', 'texture_mean': '19.13', 'perimeter_mean': '89.46', 'area_mean': '575.3', 'smoothness_mean': '0.09057', 'compactness_mean': '0.1147', 'concavity_mean': '0.09657', 'concave points_mean': '0.04812', 'symmetry_mean': '0.1848', 'fractal_dimension_mean': '0.06181', 'radius_se': '0.2244', 'texture_se': '0.895', 'perimeter_se': '1.804', 'area_se': '19.36', 'smoothness_se': '0.00398', 'compactness_se': '0.02809', 'concavity_se': '0.03669', 'concave points_se': '0.01274', 'symmetry_se': '0.01581', 'fractal_dimension_se': '0.003956', 'radius_worst': '15.14', 'texture_worst': '25.5', 'perimeter_worst': '101.4', 'area_worst': '708.8', 'smoothness_worst': '0.1147', 'compactness_worst': '0.3167', 'concavity_worst': '0.366', 'concave points_worst': '0.1407', 'symmetry_worst': '0.2744', 'fractal_dimension_worst': '0.08839'}
{'id': '907145', 'diagnosis': 'B', 'radius_mean': '9.742', 'texture_mean': '19.12', 'perimeter_mean': '61.93', 'area_mean': '289.7', 'smoothness_mean': '0.1075', 'compactness_mean': '0.08333', 'concavity_mean': '0.008934', 'concave points_mean': '0.01967', 'symmetry_mean': '0.2538', 'fractal_dimension_mean': '0.07029', 'radius_se': '0.6965', 'texture_se': '1.747', 'perimeter_se': '4.607', 'area_se': '43.52', 'smoothness_se': '0.01307', 'compactness_se': '0.01885', 'concavity_se': '0.006021', 'concave points_se': '0.01052', 'symmetry_se': '0.031', 'fractal_dimension_se': '0.004225', 'radius_worst': '11.21', 'texture_worst': '23.17', 'perimeter_worst': '71.79', 'area_worst': '380.9', 'smoothness_worst': '0.1398', 'compactness_worst': '0.1352', 'concavity_worst': '0.02085', 'concave points_worst': '0.04589', 'symmetry_worst': '0.3196', 'fractal_dimension_worst': '0.08009'}
{'id': '907367', 'diagnosis': 'B', 'radius_mean': '10.03', 'texture_mean': '21.28', 'perimeter_mean': '63.19', 'area_mean': '307.3', 'smoothness_mean': '0.08117', 'compactness_mean': '0.03912', 'concavity_mean': '0.00247', 'concave points_mean': '0.005159', 'symmetry_mean': '0.163', 'fractal_dimension_mean': '0.06439', 'radius_se': '0.1851', 'texture_se': '1.341', 'perimeter_se': '1.184', 'area_se': '11.6', 'smoothness_se': '0.005724', 'compactness_se': '0.005697', 'concavity_se': '0.002074', 'concave points_se': '0.003527', 'symmetry_se': '0.01445', 'fractal_dimension_se': '0.002411', 'radius_worst': '11.11', 'texture_worst': '28.94', 'perimeter_worst': '69.92', 'area_worst': '376.3', 'smoothness_worst': '0.1126', 'compactness_worst': '0.07094', 'concavity_worst': '0.01235', 'concave points_worst': '0.02579', 'symmetry_worst': '0.2349', 'fractal_dimension_worst': '0.08061'}
{'id': '907409', 'diagnosis': 'B', 'radius_mean': '10.48', 'texture_mean': '14.98', 'perimeter_mean': '67.49', 'area_mean': '333.6', 'smoothness_mean': '0.09816', 'compactness_mean': '0.1013', 'concavity_mean': '0.06335', 'concave points_mean': '0.02218', 'symmetry_mean': '0.1925', 'fractal_dimension_mean': '0.06915', 'radius_se': '0.3276', 'texture_se': '1.127', 'perimeter_se': '2.564', 'area_se': '20.77', 'smoothness_se': '0.007364', 'compactness_se': '0.03867', 'concavity_se': '0.05263', 'concave points_se': '0.01264', 'symmetry_se': '0.02161', 'fractal_dimension_se': '0.00483', 'radius_worst': '12.13', 'texture_worst': '21.57', 'perimeter_worst': '81.41', 'area_worst': '440.4', 'smoothness_worst': '0.1327', 'compactness_worst': '0.2996', 'concavity_worst': '0.2939', 'concave points_worst': '0.0931', 'symmetry_worst': '0.302', 'fractal_dimension_worst': '0.09646'}
{'id': '90745', 'diagnosis': 'B', 'radius_mean': '10.8', 'texture_mean': '21.98', 'perimeter_mean': '68.79', 'area_mean': '359.9', 'smoothness_mean': '0.08801', 'compactness_mean': '0.05743', 'concavity_mean': '0.03614', 'concave points_mean': '0.01404', 'symmetry_mean': '0.2016', 'fractal_dimension_mean': '0.05977', 'radius_se': '0.3077', 'texture_se': '1.621', 'perimeter_se': '2.24', 'area_se': '20.2', 'smoothness_se': '0.006543', 'compactness_se': '0.02148', 'concavity_se': '0.02991', 'concave points_se': '0.01045', 'symmetry_se': '0.01844', 'fractal_dimension_se': '0.00269', 'radius_worst': '12.76', 'texture_worst': '32.04', 'perimeter_worst': '83.69', 'area_worst': '489.5', 'smoothness_worst': '0.1303', 'compactness_worst': '0.1696', 'concavity_worst': '0.1927', 'concave points_worst': '0.07485', 'symmetry_worst': '0.2965', 'fractal_dimension_worst': '0.07662'}
{'id': '90769601', 'diagnosis': 'B', 'radius_mean': '11.13', 'texture_mean': '16.62', 'perimeter_mean': '70.47', 'area_mean': '381.1', 'smoothness_mean': '0.08151', 'compactness_mean': '0.03834', 'concavity_mean': '0.01369', 'concave points_mean': '0.0137', 'symmetry_mean': '0.1511', 'fractal_dimension_mean': '0.06148', 'radius_se': '0.1415', 'texture_se': '0.9671', 'perimeter_se': '0.968', 'area_se': '9.704', 'smoothness_se': '0.005883', 'compactness_se': '0.006263', 'concavity_se': '0.009398', 'concave points_se': '0.006189', 'symmetry_se': '0.02009', 'fractal_dimension_se': '0.002377', 'radius_worst': '11.68', 'texture_worst': '20.29', 'perimeter_worst': '74.35', 'area_worst': '421.1', 'smoothness_worst': '0.103', 'compactness_worst': '0.06219', 'concavity_worst': '0.0458', 'concave points_worst': '0.04044', 'symmetry_worst': '0.2383', 'fractal_dimension_worst': '0.07083'}
{'id': '90769602', 'diagnosis': 'B', 'radius_mean': '12.72', 'texture_mean': '17.67', 'perimeter_mean': '80.98', 'area_mean': '501.3', 'smoothness_mean': '0.07896', 'compactness_mean': '0.04522', 'concavity_mean': '0.01402', 'concave points_mean': '0.01835', 'symmetry_mean': '0.1459', 'fractal_dimension_mean': '0.05544', 'radius_se': '0.2954', 'texture_se': '0.8836', 'perimeter_se': '2.109', 'area_se': '23.24', 'smoothness_se': '0.007337', 'compactness_se': '0.01174', 'concavity_se': '0.005383', 'concave points_se': '0.005623', 'symmetry_se': '0.0194', 'fractal_dimension_se': '0.00118', 'radius_worst': '13.82', 'texture_worst': '20.96', 'perimeter_worst': '88.87', 'area_worst': '586.8', 'smoothness_worst': '0.1068', 'compactness_worst': '0.09605', 'concavity_worst': '0.03469', 'concave points_worst': '0.03612', 'symmetry_worst': '0.2165', 'fractal_dimension_worst': '0.06025'}
{'id': '907914', 'diagnosis': 'M', 'radius_mean': '14.9', 'texture_mean': '22.53', 'perimeter_mean': '102.1', 'area_mean': '685', 'smoothness_mean': '0.09947', 'compactness_mean': '0.2225', 'concavity_mean': '0.2733', 'concave points_mean': '0.09711', 'symmetry_mean': '0.2041', 'fractal_dimension_mean': '0.06898', 'radius_se': '0.253', 'texture_se': '0.8749', 'perimeter_se': '3.466', 'area_se': '24.19', 'smoothness_se': '0.006965', 'compactness_se': '0.06213', 'concavity_se': '0.07926', 'concave points_se': '0.02234', 'symmetry_se': '0.01499', 'fractal_dimension_se': '0.005784', 'radius_worst': '16.35', 'texture_worst': '27.57', 'perimeter_worst': '125.4', 'area_worst': '832.7', 'smoothness_worst': '0.1419', 'compactness_worst': '0.709', 'concavity_worst': '0.9019', 'concave points_worst': '0.2475', 'symmetry_worst': '0.2866', 'fractal_dimension_worst': '0.1155'}
{'id': '907915', 'diagnosis': 'B', 'radius_mean': '12.4', 'texture_mean': '17.68', 'perimeter_mean': '81.47', 'area_mean': '467.8', 'smoothness_mean': '0.1054', 'compactness_mean': '0.1316', 'concavity_mean': '0.07741', 'concave points_mean': '0.02799', 'symmetry_mean': '0.1811', 'fractal_dimension_mean': '0.07102', 'radius_se': '0.1767', 'texture_se': '1.46', 'perimeter_se': '2.204', 'area_se': '15.43', 'smoothness_se': '0.01', 'compactness_se': '0.03295', 'concavity_se': '0.04861', 'concave points_se': '0.01167', 'symmetry_se': '0.02187', 'fractal_dimension_se': '0.006005', 'radius_worst': '12.88', 'texture_worst': '22.91', 'perimeter_worst': '89.61', 'area_worst': '515.8', 'smoothness_worst': '0.145', 'compactness_worst': '0.2629', 'concavity_worst': '0.2403', 'concave points_worst': '0.0737', 'symmetry_worst': '0.2556', 'fractal_dimension_worst': '0.09359'}
{'id': '908194', 'diagnosis': 'M', 'radius_mean': '20.18', 'texture_mean': '19.54', 'perimeter_mean': '133.8', 'area_mean': '1250', 'smoothness_mean': '0.1133', 'compactness_mean': '0.1489', 'concavity_mean': '0.2133', 'concave points_mean': '0.1259', 'symmetry_mean': '0.1724', 'fractal_dimension_mean': '0.06053', 'radius_se': '0.4331', 'texture_se': '1.001', 'perimeter_se': '3.008', 'area_se': '52.49', 'smoothness_se': '0.009087', 'compactness_se': '0.02715', 'concavity_se': '0.05546', 'concave points_se': '0.0191', 'symmetry_se': '0.02451', 'fractal_dimension_se': '0.004005', 'radius_worst': '22.03', 'texture_worst': '25.07', 'perimeter_worst': '146', 'area_worst': '1479', 'smoothness_worst': '0.1665', 'compactness_worst': '0.2942', 'concavity_worst': '0.5308', 'concave points_worst': '0.2173', 'symmetry_worst': '0.3032', 'fractal_dimension_worst': '0.08075'}
{'id': '908445', 'diagnosis': 'M', 'radius_mean': '18.82', 'texture_mean': '21.97', 'perimeter_mean': '123.7', 'area_mean': '1110', 'smoothness_mean': '0.1018', 'compactness_mean': '0.1389', 'concavity_mean': '0.1594', 'concave points_mean': '0.08744', 'symmetry_mean': '0.1943', 'fractal_dimension_mean': '0.06132', 'radius_se': '0.8191', 'texture_se': '1.931', 'perimeter_se': '4.493', 'area_se': '103.9', 'smoothness_se': '0.008074', 'compactness_se': '0.04088', 'concavity_se': '0.05321', 'concave points_se': '0.01834', 'symmetry_se': '0.02383', 'fractal_dimension_se': '0.004515', 'radius_worst': '22.66', 'texture_worst': '30.93', 'perimeter_worst': '145.3', 'area_worst': '1603', 'smoothness_worst': '0.139', 'compactness_worst': '0.3463', 'concavity_worst': '0.3912', 'concave points_worst': '0.1708', 'symmetry_worst': '0.3007', 'fractal_dimension_worst': '0.08314'}
{'id': '908469', 'diagnosis': 'B', 'radius_mean': '14.86', 'texture_mean': '16.94', 'perimeter_mean': '94.89', 'area_mean': '673.7', 'smoothness_mean': '0.08924', 'compactness_mean': '0.07074', 'concavity_mean': '0.03346', 'concave points_mean': '0.02877', 'symmetry_mean': '0.1573', 'fractal_dimension_mean': '0.05703', 'radius_se': '0.3028', 'texture_se': '0.6683', 'perimeter_se': '1.612', 'area_se': '23.92', 'smoothness_se': '0.005756', 'compactness_se': '0.01665', 'concavity_se': '0.01461', 'concave points_se': '0.008281', 'symmetry_se': '0.01551', 'fractal_dimension_se': '0.002168', 'radius_worst': '16.31', 'texture_worst': '20.54', 'perimeter_worst': '102.3', 'area_worst': '777.5', 'smoothness_worst': '0.1218', 'compactness_worst': '0.155', 'concavity_worst': '0.122', 'concave points_worst': '0.07971', 'symmetry_worst': '0.2525', 'fractal_dimension_worst': '0.06827'}
{'id': '908489', 'diagnosis': 'M', 'radius_mean': '13.98', 'texture_mean': '19.62', 'perimeter_mean': '91.12', 'area_mean': '599.5', 'smoothness_mean': '0.106', 'compactness_mean': '0.1133', 'concavity_mean': '0.1126', 'concave points_mean': '0.06463', 'symmetry_mean': '0.1669', 'fractal_dimension_mean': '0.06544', 'radius_se': '0.2208', 'texture_se': '0.9533', 'perimeter_se': '1.602', 'area_se': '18.85', 'smoothness_se': '0.005314', 'compactness_se': '0.01791', 'concavity_se': '0.02185', 'concave points_se': '0.009567', 'symmetry_se': '0.01223', 'fractal_dimension_se': '0.002846', 'radius_worst': '17.04', 'texture_worst': '30.8', 'perimeter_worst': '113.9', 'area_worst': '869.3', 'smoothness_worst': '0.1613', 'compactness_worst': '0.3568', 'concavity_worst': '0.4069', 'concave points_worst': '0.1827', 'symmetry_worst': '0.3179', 'fractal_dimension_worst': '0.1055'}
{'id': '908916', 'diagnosis': 'B', 'radius_mean': '12.87', 'texture_mean': '19.54', 'perimeter_mean': '82.67', 'area_mean': '509.2', 'smoothness_mean': '0.09136', 'compactness_mean': '0.07883', 'concavity_mean': '0.01797', 'concave points_mean': '0.0209', 'symmetry_mean': '0.1861', 'fractal_dimension_mean': '0.06347', 'radius_se': '0.3665', 'texture_se': '0.7693', 'perimeter_se': '2.597', 'area_se': '26.5', 'smoothness_se': '0.00591', 'compactness_se': '0.01362', 'concavity_se': '0.007066', 'concave points_se': '0.006502', 'symmetry_se': '0.02223', 'fractal_dimension_se': '0.002378', 'radius_worst': '14.45', 'texture_worst': '24.38', 'perimeter_worst': '95.14', 'area_worst': '626.9', 'smoothness_worst': '0.1214', 'compactness_worst': '0.1652', 'concavity_worst': '0.07127', 'concave points_worst': '0.06384', 'symmetry_worst': '0.3313', 'fractal_dimension_worst': '0.07735'}
{'id': '909220', 'diagnosis': 'B', 'radius_mean': '14.04', 'texture_mean': '15.98', 'perimeter_mean': '89.78', 'area_mean': '611.2', 'smoothness_mean': '0.08458', 'compactness_mean': '0.05895', 'concavity_mean': '0.03534', 'concave points_mean': '0.02944', 'symmetry_mean': '0.1714', 'fractal_dimension_mean': '0.05898', 'radius_se': '0.3892', 'texture_se': '1.046', 'perimeter_se': '2.644', 'area_se': '32.74', 'smoothness_se': '0.007976', 'compactness_se': '0.01295', 'concavity_se': '0.01608', 'concave points_se': '0.009046', 'symmetry_se': '0.02005', 'fractal_dimension_se': '0.00283', 'radius_worst': '15.66', 'texture_worst': '21.58', 'perimeter_worst': '101.2', 'area_worst': '750', 'smoothness_worst': '0.1195', 'compactness_worst': '0.1252', 'concavity_worst': '0.1117', 'concave points_worst': '0.07453', 'symmetry_worst': '0.2725', 'fractal_dimension_worst': '0.07234'}
{'id': '909231', 'diagnosis': 'B', 'radius_mean': '13.85', 'texture_mean': '19.6', 'perimeter_mean': '88.68', 'area_mean': '592.6', 'smoothness_mean': '0.08684', 'compactness_mean': '0.0633', 'concavity_mean': '0.01342', 'concave points_mean': '0.02293', 'symmetry_mean': '0.1555', 'fractal_dimension_mean': '0.05673', 'radius_se': '0.3419', 'texture_se': '1.678', 'perimeter_se': '2.331', 'area_se': '29.63', 'smoothness_se': '0.005836', 'compactness_se': '0.01095', 'concavity_se': '0.005812', 'concave points_se': '0.007039', 'symmetry_se': '0.02014', 'fractal_dimension_se': '0.002326', 'radius_worst': '15.63', 'texture_worst': '28.01', 'perimeter_worst': '100.9', 'area_worst': '749.1', 'smoothness_worst': '0.1118', 'compactness_worst': '0.1141', 'concavity_worst': '0.04753', 'concave points_worst': '0.0589', 'symmetry_worst': '0.2513', 'fractal_dimension_worst': '0.06911'}
{'id': '909410', 'diagnosis': 'B', 'radius_mean': '14.02', 'texture_mean': '15.66', 'perimeter_mean': '89.59', 'area_mean': '606.5', 'smoothness_mean': '0.07966', 'compactness_mean': '0.05581', 'concavity_mean': '0.02087', 'concave points_mean': '0.02652', 'symmetry_mean': '0.1589', 'fractal_dimension_mean': '0.05586', 'radius_se': '0.2142', 'texture_se': '0.6549', 'perimeter_se': '1.606', 'area_se': '19.25', 'smoothness_se': '0.004837', 'compactness_se': '0.009238', 'concavity_se': '0.009213', 'concave points_se': '0.01076', 'symmetry_se': '0.01171', 'fractal_dimension_se': '0.002104', 'radius_worst': '14.91', 'texture_worst': '19.31', 'perimeter_worst': '96.53', 'area_worst': '688.9', 'smoothness_worst': '0.1034', 'compactness_worst': '0.1017', 'concavity_worst': '0.0626', 'concave points_worst': '0.08216', 'symmetry_worst': '0.2136', 'fractal_dimension_worst': '0.0671'}
{'id': '909411', 'diagnosis': 'B', 'radius_mean': '10.97', 'texture_mean': '17.2', 'perimeter_mean': '71.73', 'area_mean': '371.5', 'smoothness_mean': '0.08915', 'compactness_mean': '0.1113', 'concavity_mean': '0.09457', 'concave points_mean': '0.03613', 'symmetry_mean': '0.1489', 'fractal_dimension_mean': '0.0664', 'radius_se': '0.2574', 'texture_se': '1.376', 'perimeter_se': '2.806', 'area_se': '18.15', 'smoothness_se': '0.008565', 'compactness_se': '0.04638', 'concavity_se': '0.0643', 'concave points_se': '0.01768', 'symmetry_se': '0.01516', 'fractal_dimension_se': '0.004976', 'radius_worst': '12.36', 'texture_worst': '26.87', 'perimeter_worst': '90.14', 'area_worst': '476.4', 'smoothness_worst': '0.1391', 'compactness_worst': '0.4082', 'concavity_worst': '0.4779', 'concave points_worst': '0.1555', 'symmetry_worst': '0.254', 'fractal_dimension_worst': '0.09532'}
{'id': '909445', 'diagnosis': 'M', 'radius_mean': '17.27', 'texture_mean': '25.42', 'perimeter_mean': '112.4', 'area_mean': '928.8', 'smoothness_mean': '0.08331', 'compactness_mean': '0.1109', 'concavity_mean': '0.1204', 'concave points_mean': '0.05736', 'symmetry_mean': '0.1467', 'fractal_dimension_mean': '0.05407', 'radius_se': '0.51', 'texture_se': '1.679', 'perimeter_se': '3.283', 'area_se': '58.38', 'smoothness_se': '0.008109', 'compactness_se': '0.04308', 'concavity_se': '0.04942', 'concave points_se': '0.01742', 'symmetry_se': '0.01594', 'fractal_dimension_se': '0.003739', 'radius_worst': '20.38', 'texture_worst': '35.46', 'perimeter_worst': '132.8', 'area_worst': '1284', 'smoothness_worst': '0.1436', 'compactness_worst': '0.4122', 'concavity_worst': '0.5036', 'concave points_worst': '0.1739', 'symmetry_worst': '0.25', 'fractal_dimension_worst': '0.07944'}
{'id': '90944601', 'diagnosis': 'B', 'radius_mean': '13.78', 'texture_mean': '15.79', 'perimeter_mean': '88.37', 'area_mean': '585.9', 'smoothness_mean': '0.08817', 'compactness_mean': '0.06718', 'concavity_mean': '0.01055', 'concave points_mean': '0.009937', 'symmetry_mean': '0.1405', 'fractal_dimension_mean': '0.05848', 'radius_se': '0.3563', 'texture_se': '0.4833', 'perimeter_se': '2.235', 'area_se': '29.34', 'smoothness_se': '0.006432', 'compactness_se': '0.01156', 'concavity_se': '0.007741', 'concave points_se': '0.005657', 'symmetry_se': '0.01227', 'fractal_dimension_se': '0.002564', 'radius_worst': '15.27', 'texture_worst': '17.5', 'perimeter_worst': '97.9', 'area_worst': '706.6', 'smoothness_worst': '0.1072', 'compactness_worst': '0.1071', 'concavity_worst': '0.03517', 'concave points_worst': '0.03312', 'symmetry_worst': '0.1859', 'fractal_dimension_worst': '0.0681'}
{'id': '909777', 'diagnosis': 'B', 'radius_mean': '10.57', 'texture_mean': '18.32', 'perimeter_mean': '66.82', 'area_mean': '340.9', 'smoothness_mean': '0.08142', 'compactness_mean': '0.04462', 'concavity_mean': '0.01993', 'concave points_mean': '0.01111', 'symmetry_mean': '0.2372', 'fractal_dimension_mean': '0.05768', 'radius_se': '0.1818', 'texture_se': '2.542', 'perimeter_se': '1.277', 'area_se': '13.12', 'smoothness_se': '0.01072', 'compactness_se': '0.01331', 'concavity_se': '0.01993', 'concave points_se': '0.01111', 'symmetry_se': '0.01717', 'fractal_dimension_se': '0.004492', 'radius_worst': '10.94', 'texture_worst': '23.31', 'perimeter_worst': '69.35', 'area_worst': '366.3', 'smoothness_worst': '0.09794', 'compactness_worst': '0.06542', 'concavity_worst': '0.03986', 'concave points_worst': '0.02222', 'symmetry_worst': '0.2699', 'fractal_dimension_worst': '0.06736'}
{'id': '9110127', 'diagnosis': 'M', 'radius_mean': '18.03', 'texture_mean': '16.85', 'perimeter_mean': '117.5', 'area_mean': '990', 'smoothness_mean': '0.08947', 'compactness_mean': '0.1232', 'concavity_mean': '0.109', 'concave points_mean': '0.06254', 'symmetry_mean': '0.172', 'fractal_dimension_mean': '0.0578', 'radius_se': '0.2986', 'texture_se': '0.5906', 'perimeter_se': '1.921', 'area_se': '35.77', 'smoothness_se': '0.004117', 'compactness_se': '0.0156', 'concavity_se': '0.02975', 'concave points_se': '0.009753', 'symmetry_se': '0.01295', 'fractal_dimension_se': '0.002436', 'radius_worst': '20.38', 'texture_worst': '22.02', 'perimeter_worst': '133.3', 'area_worst': '1292', 'smoothness_worst': '0.1263', 'compactness_worst': '0.2666', 'concavity_worst': '0.429', 'concave points_worst': '0.1535', 'symmetry_worst': '0.2842', 'fractal_dimension_worst': '0.08225'}
{'id': '9110720', 'diagnosis': 'B', 'radius_mean': '11.99', 'texture_mean': '24.89', 'perimeter_mean': '77.61', 'area_mean': '441.3', 'smoothness_mean': '0.103', 'compactness_mean': '0.09218', 'concavity_mean': '0.05441', 'concave points_mean': '0.04274', 'symmetry_mean': '0.182', 'fractal_dimension_mean': '0.0685', 'radius_se': '0.2623', 'texture_se': '1.204', 'perimeter_se': '1.865', 'area_se': '19.39', 'smoothness_se': '0.00832', 'compactness_se': '0.02025', 'concavity_se': '0.02334', 'concave points_se': '0.01665', 'symmetry_se': '0.02094', 'fractal_dimension_se': '0.003674', 'radius_worst': '12.98', 'texture_worst': '30.36', 'perimeter_worst': '84.48', 'area_worst': '513.9', 'smoothness_worst': '0.1311', 'compactness_worst': '0.1822', 'concavity_worst': '0.1609', 'concave points_worst': '0.1202', 'symmetry_worst': '0.2599', 'fractal_dimension_worst': '0.08251'}
{'id': '9110732', 'diagnosis': 'M', 'radius_mean': '17.75', 'texture_mean': '28.03', 'perimeter_mean': '117.3', 'area_mean': '981.6', 'smoothness_mean': '0.09997', 'compactness_mean': '0.1314', 'concavity_mean': '0.1698', 'concave points_mean': '0.08293', 'symmetry_mean': '0.1713', 'fractal_dimension_mean': '0.05916', 'radius_se': '0.3897', 'texture_se': '1.077', 'perimeter_se': '2.873', 'area_se': '43.95', 'smoothness_se': '0.004714', 'compactness_se': '0.02015', 'concavity_se': '0.03697', 'concave points_se': '0.0111', 'symmetry_se': '0.01237', 'fractal_dimension_se': '0.002556', 'radius_worst': '21.53', 'texture_worst': '38.54', 'perimeter_worst': '145.4', 'area_worst': '1437', 'smoothness_worst': '0.1401', 'compactness_worst': '0.3762', 'concavity_worst': '0.6399', 'concave points_worst': '0.197', 'symmetry_worst': '0.2972', 'fractal_dimension_worst': '0.09075'}
{'id': '9110944', 'diagnosis': 'B', 'radius_mean': '14.8', 'texture_mean': '17.66', 'perimeter_mean': '95.88', 'area_mean': '674.8', 'smoothness_mean': '0.09179', 'compactness_mean': '0.0889', 'concavity_mean': '0.04069', 'concave points_mean': '0.0226', 'symmetry_mean': '0.1893', 'fractal_dimension_mean': '0.05886', 'radius_se': '0.2204', 'texture_se': '0.6221', 'perimeter_se': '1.482', 'area_se': '19.75', 'smoothness_se': '0.004796', 'compactness_se': '0.01171', 'concavity_se': '0.01758', 'concave points_se': '0.006897', 'symmetry_se': '0.02254', 'fractal_dimension_se': '0.001971', 'radius_worst': '16.43', 'texture_worst': '22.74', 'perimeter_worst': '105.9', 'area_worst': '829.5', 'smoothness_worst': '0.1226', 'compactness_worst': '0.1881', 'concavity_worst': '0.206', 'concave points_worst': '0.08308', 'symmetry_worst': '0.36', 'fractal_dimension_worst': '0.07285'}
{'id': '911150', 'diagnosis': 'B', 'radius_mean': '14.53', 'texture_mean': '19.34', 'perimeter_mean': '94.25', 'area_mean': '659.7', 'smoothness_mean': '0.08388', 'compactness_mean': '0.078', 'concavity_mean': '0.08817', 'concave points_mean': '0.02925', 'symmetry_mean': '0.1473', 'fractal_dimension_mean': '0.05746', 'radius_se': '0.2535', 'texture_se': '1.354', 'perimeter_se': '1.994', 'area_se': '23.04', 'smoothness_se': '0.004147', 'compactness_se': '0.02048', 'concavity_se': '0.03379', 'concave points_se': '0.008848', 'symmetry_se': '0.01394', 'fractal_dimension_se': '0.002327', 'radius_worst': '16.3', 'texture_worst': '28.39', 'perimeter_worst': '108.1', 'area_worst': '830.5', 'smoothness_worst': '0.1089', 'compactness_worst': '0.2649', 'concavity_worst': '0.3779', 'concave points_worst': '0.09594', 'symmetry_worst': '0.2471', 'fractal_dimension_worst': '0.07463'}
{'id': '911157302', 'diagnosis': 'M', 'radius_mean': '21.1', 'texture_mean': '20.52', 'perimeter_mean': '138.1', 'area_mean': '1384', 'smoothness_mean': '0.09684', 'compactness_mean': '0.1175', 'concavity_mean': '0.1572', 'concave points_mean': '0.1155', 'symmetry_mean': '0.1554', 'fractal_dimension_mean': '0.05661', 'radius_se': '0.6643', 'texture_se': '1.361', 'perimeter_se': '4.542', 'area_se': '81.89', 'smoothness_se': '0.005467', 'compactness_se': '0.02075', 'concavity_se': '0.03185', 'concave points_se': '0.01466', 'symmetry_se': '0.01029', 'fractal_dimension_se': '0.002205', 'radius_worst': '25.68', 'texture_worst': '32.07', 'perimeter_worst': '168.2', 'area_worst': '2022', 'smoothness_worst': '0.1368', 'compactness_worst': '0.3101', 'concavity_worst': '0.4399', 'concave points_worst': '0.228', 'symmetry_worst': '0.2268', 'fractal_dimension_worst': '0.07425'}
{'id': '9111596', 'diagnosis': 'B', 'radius_mean': '11.87', 'texture_mean': '21.54', 'perimeter_mean': '76.83', 'area_mean': '432', 'smoothness_mean': '0.06613', 'compactness_mean': '0.1064', 'concavity_mean': '0.08777', 'concave points_mean': '0.02386', 'symmetry_mean': '0.1349', 'fractal_dimension_mean': '0.06612', 'radius_se': '0.256', 'texture_se': '1.554', 'perimeter_se': '1.955', 'area_se': '20.24', 'smoothness_se': '0.006854', 'compactness_se': '0.06063', 'concavity_se': '0.06663', 'concave points_se': '0.01553', 'symmetry_se': '0.02354', 'fractal_dimension_se': '0.008925', 'radius_worst': '12.79', 'texture_worst': '28.18', 'perimeter_worst': '83.51', 'area_worst': '507.2', 'smoothness_worst': '0.09457', 'compactness_worst': '0.3399', 'concavity_worst': '0.3218', 'concave points_worst': '0.0875', 'symmetry_worst': '0.2305', 'fractal_dimension_worst': '0.09952'}
{'id': '9111805', 'diagnosis': 'M', 'radius_mean': '19.59', 'texture_mean': '25', 'perimeter_mean': '127.7', 'area_mean': '1191', 'smoothness_mean': '0.1032', 'compactness_mean': '0.09871', 'concavity_mean': '0.1655', 'concave points_mean': '0.09063', 'symmetry_mean': '0.1663', 'fractal_dimension_mean': '0.05391', 'radius_se': '0.4674', 'texture_se': '1.375', 'perimeter_se': '2.916', 'area_se': '56.18', 'smoothness_se': '0.0119', 'compactness_se': '0.01929', 'concavity_se': '0.04907', 'concave points_se': '0.01499', 'symmetry_se': '0.01641', 'fractal_dimension_se': '0.001807', 'radius_worst': '21.44', 'texture_worst': '30.96', 'perimeter_worst': '139.8', 'area_worst': '1421', 'smoothness_worst': '0.1528', 'compactness_worst': '0.1845', 'concavity_worst': '0.3977', 'concave points_worst': '0.1466', 'symmetry_worst': '0.2293', 'fractal_dimension_worst': '0.06091'}
{'id': '9111843', 'diagnosis': 'B', 'radius_mean': '12', 'texture_mean': '28.23', 'perimeter_mean': '76.77', 'area_mean': '442.5', 'smoothness_mean': '0.08437', 'compactness_mean': '0.0645', 'concavity_mean': '0.04055', 'concave points_mean': '0.01945', 'symmetry_mean': '0.1615', 'fractal_dimension_mean': '0.06104', 'radius_se': '0.1912', 'texture_se': '1.705', 'perimeter_se': '1.516', 'area_se': '13.86', 'smoothness_se': '0.007334', 'compactness_se': '0.02589', 'concavity_se': '0.02941', 'concave points_se': '0.009166', 'symmetry_se': '0.01745', 'fractal_dimension_se': '0.004302', 'radius_worst': '13.09', 'texture_worst': '37.88', 'perimeter_worst': '85.07', 'area_worst': '523.7', 'smoothness_worst': '0.1208', 'compactness_worst': '0.1856', 'concavity_worst': '0.1811', 'concave points_worst': '0.07116', 'symmetry_worst': '0.2447', 'fractal_dimension_worst': '0.08194'}
{'id': '911201', 'diagnosis': 'B', 'radius_mean': '14.53', 'texture_mean': '13.98', 'perimeter_mean': '93.86', 'area_mean': '644.2', 'smoothness_mean': '0.1099', 'compactness_mean': '0.09242', 'concavity_mean': '0.06895', 'concave points_mean': '0.06495', 'symmetry_mean': '0.165', 'fractal_dimension_mean': '0.06121', 'radius_se': '0.306', 'texture_se': '0.7213', 'perimeter_se': '2.143', 'area_se': '25.7', 'smoothness_se': '0.006133', 'compactness_se': '0.01251', 'concavity_se': '0.01615', 'concave points_se': '0.01136', 'symmetry_se': '0.02207', 'fractal_dimension_se': '0.003563', 'radius_worst': '15.8', 'texture_worst': '16.93', 'perimeter_worst': '103.1', 'area_worst': '749.9', 'smoothness_worst': '0.1347', 'compactness_worst': '0.1478', 'concavity_worst': '0.1373', 'concave points_worst': '0.1069', 'symmetry_worst': '0.2606', 'fractal_dimension_worst': '0.0781'}
{'id': '911202', 'diagnosis': 'B', 'radius_mean': '12.62', 'texture_mean': '17.15', 'perimeter_mean': '80.62', 'area_mean': '492.9', 'smoothness_mean': '0.08583', 'compactness_mean': '0.0543', 'concavity_mean': '0.02966', 'concave points_mean': '0.02272', 'symmetry_mean': '0.1799', 'fractal_dimension_mean': '0.05826', 'radius_se': '0.1692', 'texture_se': '0.6674', 'perimeter_se': '1.116', 'area_se': '13.32', 'smoothness_se': '0.003888', 'compactness_se': '0.008539', 'concavity_se': '0.01256', 'concave points_se': '0.006888', 'symmetry_se': '0.01608', 'fractal_dimension_se': '0.001638', 'radius_worst': '14.34', 'texture_worst': '22.15', 'perimeter_worst': '91.62', 'area_worst': '633.5', 'smoothness_worst': '0.1225', 'compactness_worst': '0.1517', 'concavity_worst': '0.1887', 'concave points_worst': '0.09851', 'symmetry_worst': '0.327', 'fractal_dimension_worst': '0.0733'}
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{'id': '9112366', 'diagnosis': 'B', 'radius_mean': '11.63', 'texture_mean': '29.29', 'perimeter_mean': '74.87', 'area_mean': '415.1', 'smoothness_mean': '0.09357', 'compactness_mean': '0.08574', 'concavity_mean': '0.0716', 'concave points_mean': '0.02017', 'symmetry_mean': '0.1799', 'fractal_dimension_mean': '0.06166', 'radius_se': '0.3135', 'texture_se': '2.426', 'perimeter_se': '2.15', 'area_se': '23.13', 'smoothness_se': '0.009861', 'compactness_se': '0.02418', 'concavity_se': '0.04275', 'concave points_se': '0.009215', 'symmetry_se': '0.02475', 'fractal_dimension_se': '0.002128', 'radius_worst': '13.12', 'texture_worst': '38.81', 'perimeter_worst': '86.04', 'area_worst': '527.8', 'smoothness_worst': '0.1406', 'compactness_worst': '0.2031', 'concavity_worst': '0.2923', 'concave points_worst': '0.06835', 'symmetry_worst': '0.2884', 'fractal_dimension_worst': '0.0722'}
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{'id': '9112594', 'diagnosis': 'B', 'radius_mean': '13', 'texture_mean': '25.13', 'perimeter_mean': '82.61', 'area_mean': '520.2', 'smoothness_mean': '0.08369', 'compactness_mean': '0.05073', 'concavity_mean': '0.01206', 'concave points_mean': '0.01762', 'symmetry_mean': '0.1667', 'fractal_dimension_mean': '0.05449', 'radius_se': '0.2621', 'texture_se': '1.232', 'perimeter_se': '1.657', 'area_se': '21.19', 'smoothness_se': '0.006054', 'compactness_se': '0.008974', 'concavity_se': '0.005681', 'concave points_se': '0.006336', 'symmetry_se': '0.01215', 'fractal_dimension_se': '0.001514', 'radius_worst': '14.34', 'texture_worst': '31.88', 'perimeter_worst': '91.06', 'area_worst': '628.5', 'smoothness_worst': '0.1218', 'compactness_worst': '0.1093', 'concavity_worst': '0.04462', 'concave points_worst': '0.05921', 'symmetry_worst': '0.2306', 'fractal_dimension_worst': '0.06291'}
{'id': '9112712', 'diagnosis': 'B', 'radius_mean': '9.755', 'texture_mean': '28.2', 'perimeter_mean': '61.68', 'area_mean': '290.9', 'smoothness_mean': '0.07984', 'compactness_mean': '0.04626', 'concavity_mean': '0.01541', 'concave points_mean': '0.01043', 'symmetry_mean': '0.1621', 'fractal_dimension_mean': '0.05952', 'radius_se': '0.1781', 'texture_se': '1.687', 'perimeter_se': '1.243', 'area_se': '11.28', 'smoothness_se': '0.006588', 'compactness_se': '0.0127', 'concavity_se': '0.0145', 'concave points_se': '0.006104', 'symmetry_se': '0.01574', 'fractal_dimension_se': '0.002268', 'radius_worst': '10.67', 'texture_worst': '36.92', 'perimeter_worst': '68.03', 'area_worst': '349.9', 'smoothness_worst': '0.111', 'compactness_worst': '0.1109', 'concavity_worst': '0.0719', 'concave points_worst': '0.04866', 'symmetry_worst': '0.2321', 'fractal_dimension_worst': '0.07211'}
{'id': '911296201', 'diagnosis': 'M', 'radius_mean': '17.08', 'texture_mean': '27.15', 'perimeter_mean': '111.2', 'area_mean': '930.9', 'smoothness_mean': '0.09898', 'compactness_mean': '0.111', 'concavity_mean': '0.1007', 'concave points_mean': '0.06431', 'symmetry_mean': '0.1793', 'fractal_dimension_mean': '0.06281', 'radius_se': '0.9291', 'texture_se': '1.152', 'perimeter_se': '6.051', 'area_se': '115.2', 'smoothness_se': '0.00874', 'compactness_se': '0.02219', 'concavity_se': '0.02721', 'concave points_se': '0.01458', 'symmetry_se': '0.02045', 'fractal_dimension_se': '0.004417', 'radius_worst': '22.96', 'texture_worst': '34.49', 'perimeter_worst': '152.1', 'area_worst': '1648', 'smoothness_worst': '0.16', 'compactness_worst': '0.2444', 'concavity_worst': '0.2639', 'concave points_worst': '0.1555', 'symmetry_worst': '0.301', 'fractal_dimension_worst': '0.0906'}
{'id': '911296202', 'diagnosis': 'M', 'radius_mean': '27.42', 'texture_mean': '26.27', 'perimeter_mean': '186.9', 'area_mean': '2501', 'smoothness_mean': '0.1084', 'compactness_mean': '0.1988', 'concavity_mean': '0.3635', 'concave points_mean': '0.1689', 'symmetry_mean': '0.2061', 'fractal_dimension_mean': '0.05623', 'radius_se': '2.547', 'texture_se': '1.306', 'perimeter_se': '18.65', 'area_se': '542.2', 'smoothness_se': '0.00765', 'compactness_se': '0.05374', 'concavity_se': '0.08055', 'concave points_se': '0.02598', 'symmetry_se': '0.01697', 'fractal_dimension_se': '0.004558', 'radius_worst': '36.04', 'texture_worst': '31.37', 'perimeter_worst': '251.2', 'area_worst': '4254', 'smoothness_worst': '0.1357', 'compactness_worst': '0.4256', 'concavity_worst': '0.6833', 'concave points_worst': '0.2625', 'symmetry_worst': '0.2641', 'fractal_dimension_worst': '0.07427'}
{'id': '9113156', 'diagnosis': 'B', 'radius_mean': '14.4', 'texture_mean': '26.99', 'perimeter_mean': '92.25', 'area_mean': '646.1', 'smoothness_mean': '0.06995', 'compactness_mean': '0.05223', 'concavity_mean': '0.03476', 'concave points_mean': '0.01737', 'symmetry_mean': '0.1707', 'fractal_dimension_mean': '0.05433', 'radius_se': '0.2315', 'texture_se': '0.9112', 'perimeter_se': '1.727', 'area_se': '20.52', 'smoothness_se': '0.005356', 'compactness_se': '0.01679', 'concavity_se': '0.01971', 'concave points_se': '0.00637', 'symmetry_se': '0.01414', 'fractal_dimension_se': '0.001892', 'radius_worst': '15.4', 'texture_worst': '31.98', 'perimeter_worst': '100.4', 'area_worst': '734.6', 'smoothness_worst': '0.1017', 'compactness_worst': '0.146', 'concavity_worst': '0.1472', 'concave points_worst': '0.05563', 'symmetry_worst': '0.2345', 'fractal_dimension_worst': '0.06464'}
{'id': '911320501', 'diagnosis': 'B', 'radius_mean': '11.6', 'texture_mean': '18.36', 'perimeter_mean': '73.88', 'area_mean': '412.7', 'smoothness_mean': '0.08508', 'compactness_mean': '0.05855', 'concavity_mean': '0.03367', 'concave points_mean': '0.01777', 'symmetry_mean': '0.1516', 'fractal_dimension_mean': '0.05859', 'radius_se': '0.1816', 'texture_se': '0.7656', 'perimeter_se': '1.303', 'area_se': '12.89', 'smoothness_se': '0.006709', 'compactness_se': '0.01701', 'concavity_se': '0.0208', 'concave points_se': '0.007497', 'symmetry_se': '0.02124', 'fractal_dimension_se': '0.002768', 'radius_worst': '12.77', 'texture_worst': '24.02', 'perimeter_worst': '82.68', 'area_worst': '495.1', 'smoothness_worst': '0.1342', 'compactness_worst': '0.1808', 'concavity_worst': '0.186', 'concave points_worst': '0.08288', 'symmetry_worst': '0.321', 'fractal_dimension_worst': '0.07863'}
{'id': '911320502', 'diagnosis': 'B', 'radius_mean': '13.17', 'texture_mean': '18.22', 'perimeter_mean': '84.28', 'area_mean': '537.3', 'smoothness_mean': '0.07466', 'compactness_mean': '0.05994', 'concavity_mean': '0.04859', 'concave points_mean': '0.0287', 'symmetry_mean': '0.1454', 'fractal_dimension_mean': '0.05549', 'radius_se': '0.2023', 'texture_se': '0.685', 'perimeter_se': '1.236', 'area_se': '16.89', 'smoothness_se': '0.005969', 'compactness_se': '0.01493', 'concavity_se': '0.01564', 'concave points_se': '0.008463', 'symmetry_se': '0.01093', 'fractal_dimension_se': '0.001672', 'radius_worst': '14.9', 'texture_worst': '23.89', 'perimeter_worst': '95.1', 'area_worst': '687.6', 'smoothness_worst': '0.1282', 'compactness_worst': '0.1965', 'concavity_worst': '0.1876', 'concave points_worst': '0.1045', 'symmetry_worst': '0.2235', 'fractal_dimension_worst': '0.06925'}
{'id': '9113239', 'diagnosis': 'B', 'radius_mean': '13.24', 'texture_mean': '20.13', 'perimeter_mean': '86.87', 'area_mean': '542.9', 'smoothness_mean': '0.08284', 'compactness_mean': '0.1223', 'concavity_mean': '0.101', 'concave points_mean': '0.02833', 'symmetry_mean': '0.1601', 'fractal_dimension_mean': '0.06432', 'radius_se': '0.281', 'texture_se': '0.8135', 'perimeter_se': '3.369', 'area_se': '23.81', 'smoothness_se': '0.004929', 'compactness_se': '0.06657', 'concavity_se': '0.07683', 'concave points_se': '0.01368', 'symmetry_se': '0.01526', 'fractal_dimension_se': '0.008133', 'radius_worst': '15.44', 'texture_worst': '25.5', 'perimeter_worst': '115', 'area_worst': '733.5', 'smoothness_worst': '0.1201', 'compactness_worst': '0.5646', 'concavity_worst': '0.6556', 'concave points_worst': '0.1357', 'symmetry_worst': '0.2845', 'fractal_dimension_worst': '0.1249'}
{'id': '9113455', 'diagnosis': 'B', 'radius_mean': '13.14', 'texture_mean': '20.74', 'perimeter_mean': '85.98', 'area_mean': '536.9', 'smoothness_mean': '0.08675', 'compactness_mean': '0.1089', 'concavity_mean': '0.1085', 'concave points_mean': '0.0351', 'symmetry_mean': '0.1562', 'fractal_dimension_mean': '0.0602', 'radius_se': '0.3152', 'texture_se': '0.7884', 'perimeter_se': '2.312', 'area_se': '27.4', 'smoothness_se': '0.007295', 'compactness_se': '0.03179', 'concavity_se': '0.04615', 'concave points_se': '0.01254', 'symmetry_se': '0.01561', 'fractal_dimension_se': '0.00323', 'radius_worst': '14.8', 'texture_worst': '25.46', 'perimeter_worst': '100.9', 'area_worst': '689.1', 'smoothness_worst': '0.1351', 'compactness_worst': '0.3549', 'concavity_worst': '0.4504', 'concave points_worst': '0.1181', 'symmetry_worst': '0.2563', 'fractal_dimension_worst': '0.08174'}
{'id': '9113514', 'diagnosis': 'B', 'radius_mean': '9.668', 'texture_mean': '18.1', 'perimeter_mean': '61.06', 'area_mean': '286.3', 'smoothness_mean': '0.08311', 'compactness_mean': '0.05428', 'concavity_mean': '0.01479', 'concave points_mean': '0.005769', 'symmetry_mean': '0.168', 'fractal_dimension_mean': '0.06412', 'radius_se': '0.3416', 'texture_se': '1.312', 'perimeter_se': '2.275', 'area_se': '20.98', 'smoothness_se': '0.01098', 'compactness_se': '0.01257', 'concavity_se': '0.01031', 'concave points_se': '0.003934', 'symmetry_se': '0.02693', 'fractal_dimension_se': '0.002979', 'radius_worst': '11.15', 'texture_worst': '24.62', 'perimeter_worst': '71.11', 'area_worst': '380.2', 'smoothness_worst': '0.1388', 'compactness_worst': '0.1255', 'concavity_worst': '0.06409', 'concave points_worst': '0.025', 'symmetry_worst': '0.3057', 'fractal_dimension_worst': '0.07875'}
{'id': '9113538', 'diagnosis': 'M', 'radius_mean': '17.6', 'texture_mean': '23.33', 'perimeter_mean': '119', 'area_mean': '980.5', 'smoothness_mean': '0.09289', 'compactness_mean': '0.2004', 'concavity_mean': '0.2136', 'concave points_mean': '0.1002', 'symmetry_mean': '0.1696', 'fractal_dimension_mean': '0.07369', 'radius_se': '0.9289', 'texture_se': '1.465', 'perimeter_se': '5.801', 'area_se': '104.9', 'smoothness_se': '0.006766', 'compactness_se': '0.07025', 'concavity_se': '0.06591', 'concave points_se': '0.02311', 'symmetry_se': '0.01673', 'fractal_dimension_se': '0.0113', 'radius_worst': '21.57', 'texture_worst': '28.87', 'perimeter_worst': '143.6', 'area_worst': '1437', 'smoothness_worst': '0.1207', 'compactness_worst': '0.4785', 'concavity_worst': '0.5165', 'concave points_worst': '0.1996', 'symmetry_worst': '0.2301', 'fractal_dimension_worst': '0.1224'}
{'id': '911366', 'diagnosis': 'B', 'radius_mean': '11.62', 'texture_mean': '18.18', 'perimeter_mean': '76.38', 'area_mean': '408.8', 'smoothness_mean': '0.1175', 'compactness_mean': '0.1483', 'concavity_mean': '0.102', 'concave points_mean': '0.05564', 'symmetry_mean': '0.1957', 'fractal_dimension_mean': '0.07255', 'radius_se': '0.4101', 'texture_se': '1.74', 'perimeter_se': '3.027', 'area_se': '27.85', 'smoothness_se': '0.01459', 'compactness_se': '0.03206', 'concavity_se': '0.04961', 'concave points_se': '0.01841', 'symmetry_se': '0.01807', 'fractal_dimension_se': '0.005217', 'radius_worst': '13.36', 'texture_worst': '25.4', 'perimeter_worst': '88.14', 'area_worst': '528.1', 'smoothness_worst': '0.178', 'compactness_worst': '0.2878', 'concavity_worst': '0.3186', 'concave points_worst': '0.1416', 'symmetry_worst': '0.266', 'fractal_dimension_worst': '0.0927'}
{'id': '9113778', 'diagnosis': 'B', 'radius_mean': '9.667', 'texture_mean': '18.49', 'perimeter_mean': '61.49', 'area_mean': '289.1', 'smoothness_mean': '0.08946', 'compactness_mean': '0.06258', 'concavity_mean': '0.02948', 'concave points_mean': '0.01514', 'symmetry_mean': '0.2238', 'fractal_dimension_mean': '0.06413', 'radius_se': '0.3776', 'texture_se': '1.35', 'perimeter_se': '2.569', 'area_se': '22.73', 'smoothness_se': '0.007501', 'compactness_se': '0.01989', 'concavity_se': '0.02714', 'concave points_se': '0.009883', 'symmetry_se': '0.0196', 'fractal_dimension_se': '0.003913', 'radius_worst': '11.14', 'texture_worst': '25.62', 'perimeter_worst': '70.88', 'area_worst': '385.2', 'smoothness_worst': '0.1234', 'compactness_worst': '0.1542', 'concavity_worst': '0.1277', 'concave points_worst': '0.0656', 'symmetry_worst': '0.3174', 'fractal_dimension_worst': '0.08524'}
{'id': '9113816', 'diagnosis': 'B', 'radius_mean': '12.04', 'texture_mean': '28.14', 'perimeter_mean': '76.85', 'area_mean': '449.9', 'smoothness_mean': '0.08752', 'compactness_mean': '0.06', 'concavity_mean': '0.02367', 'concave points_mean': '0.02377', 'symmetry_mean': '0.1854', 'fractal_dimension_mean': '0.05698', 'radius_se': '0.6061', 'texture_se': '2.643', 'perimeter_se': '4.099', 'area_se': '44.96', 'smoothness_se': '0.007517', 'compactness_se': '0.01555', 'concavity_se': '0.01465', 'concave points_se': '0.01183', 'symmetry_se': '0.02047', 'fractal_dimension_se': '0.003883', 'radius_worst': '13.6', 'texture_worst': '33.33', 'perimeter_worst': '87.24', 'area_worst': '567.6', 'smoothness_worst': '0.1041', 'compactness_worst': '0.09726', 'concavity_worst': '0.05524', 'concave points_worst': '0.05547', 'symmetry_worst': '0.2404', 'fractal_dimension_worst': '0.06639'}
{'id': '911384', 'diagnosis': 'B', 'radius_mean': '14.92', 'texture_mean': '14.93', 'perimeter_mean': '96.45', 'area_mean': '686.9', 'smoothness_mean': '0.08098', 'compactness_mean': '0.08549', 'concavity_mean': '0.05539', 'concave points_mean': '0.03221', 'symmetry_mean': '0.1687', 'fractal_dimension_mean': '0.05669', 'radius_se': '0.2446', 'texture_se': '0.4334', 'perimeter_se': '1.826', 'area_se': '23.31', 'smoothness_se': '0.003271', 'compactness_se': '0.0177', 'concavity_se': '0.0231', 'concave points_se': '0.008399', 'symmetry_se': '0.01148', 'fractal_dimension_se': '0.002379', 'radius_worst': '17.18', 'texture_worst': '18.22', 'perimeter_worst': '112', 'area_worst': '906.6', 'smoothness_worst': '0.1065', 'compactness_worst': '0.2791', 'concavity_worst': '0.3151', 'concave points_worst': '0.1147', 'symmetry_worst': '0.2688', 'fractal_dimension_worst': '0.08273'}
{'id': '9113846', 'diagnosis': 'B', 'radius_mean': '12.27', 'texture_mean': '29.97', 'perimeter_mean': '77.42', 'area_mean': '465.4', 'smoothness_mean': '0.07699', 'compactness_mean': '0.03398', 'concavity_mean': '0', 'concave points_mean': '0', 'symmetry_mean': '0.1701', 'fractal_dimension_mean': '0.0596', 'radius_se': '0.4455', 'texture_se': '3.647', 'perimeter_se': '2.884', 'area_se': '35.13', 'smoothness_se': '0.007339', 'compactness_se': '0.008243', 'concavity_se': '0', 'concave points_se': '0', 'symmetry_se': '0.03141', 'fractal_dimension_se': '0.003136', 'radius_worst': '13.45', 'texture_worst': '38.05', 'perimeter_worst': '85.08', 'area_worst': '558.9', 'smoothness_worst': '0.09422', 'compactness_worst': '0.05213', 'concavity_worst': '0', 'concave points_worst': '0', 'symmetry_worst': '0.2409', 'fractal_dimension_worst': '0.06743'}
{'id': '911391', 'diagnosis': 'B', 'radius_mean': '10.88', 'texture_mean': '15.62', 'perimeter_mean': '70.41', 'area_mean': '358.9', 'smoothness_mean': '0.1007', 'compactness_mean': '0.1069', 'concavity_mean': '0.05115', 'concave points_mean': '0.01571', 'symmetry_mean': '0.1861', 'fractal_dimension_mean': '0.06837', 'radius_se': '0.1482', 'texture_se': '0.538', 'perimeter_se': '1.301', 'area_se': '9.597', 'smoothness_se': '0.004474', 'compactness_se': '0.03093', 'concavity_se': '0.02757', 'concave points_se': '0.006691', 'symmetry_se': '0.01212', 'fractal_dimension_se': '0.004672', 'radius_worst': '11.94', 'texture_worst': '19.35', 'perimeter_worst': '80.78', 'area_worst': '433.1', 'smoothness_worst': '0.1332', 'compactness_worst': '0.3898', 'concavity_worst': '0.3365', 'concave points_worst': '0.07966', 'symmetry_worst': '0.2581', 'fractal_dimension_worst': '0.108'}
{'id': '911408', 'diagnosis': 'B', 'radius_mean': '12.83', 'texture_mean': '15.73', 'perimeter_mean': '82.89', 'area_mean': '506.9', 'smoothness_mean': '0.0904', 'compactness_mean': '0.08269', 'concavity_mean': '0.05835', 'concave points_mean': '0.03078', 'symmetry_mean': '0.1705', 'fractal_dimension_mean': '0.05913', 'radius_se': '0.1499', 'texture_se': '0.4875', 'perimeter_se': '1.195', 'area_se': '11.64', 'smoothness_se': '0.004873', 'compactness_se': '0.01796', 'concavity_se': '0.03318', 'concave points_se': '0.00836', 'symmetry_se': '0.01601', 'fractal_dimension_se': '0.002289', 'radius_worst': '14.09', 'texture_worst': '19.35', 'perimeter_worst': '93.22', 'area_worst': '605.8', 'smoothness_worst': '0.1326', 'compactness_worst': '0.261', 'concavity_worst': '0.3476', 'concave points_worst': '0.09783', 'symmetry_worst': '0.3006', 'fractal_dimension_worst': '0.07802'}
{'id': '911654', 'diagnosis': 'B', 'radius_mean': '14.2', 'texture_mean': '20.53', 'perimeter_mean': '92.41', 'area_mean': '618.4', 'smoothness_mean': '0.08931', 'compactness_mean': '0.1108', 'concavity_mean': '0.05063', 'concave points_mean': '0.03058', 'symmetry_mean': '0.1506', 'fractal_dimension_mean': '0.06009', 'radius_se': '0.3478', 'texture_se': '1.018', 'perimeter_se': '2.749', 'area_se': '31.01', 'smoothness_se': '0.004107', 'compactness_se': '0.03288', 'concavity_se': '0.02821', 'concave points_se': '0.0135', 'symmetry_se': '0.0161', 'fractal_dimension_se': '0.002744', 'radius_worst': '16.45', 'texture_worst': '27.26', 'perimeter_worst': '112.1', 'area_worst': '828.5', 'smoothness_worst': '0.1153', 'compactness_worst': '0.3429', 'concavity_worst': '0.2512', 'concave points_worst': '0.1339', 'symmetry_worst': '0.2534', 'fractal_dimension_worst': '0.07858'}
{'id': '911673', 'diagnosis': 'B', 'radius_mean': '13.9', 'texture_mean': '16.62', 'perimeter_mean': '88.97', 'area_mean': '599.4', 'smoothness_mean': '0.06828', 'compactness_mean': '0.05319', 'concavity_mean': '0.02224', 'concave points_mean': '0.01339', 'symmetry_mean': '0.1813', 'fractal_dimension_mean': '0.05536', 'radius_se': '0.1555', 'texture_se': '0.5762', 'perimeter_se': '1.392', 'area_se': '14.03', 'smoothness_se': '0.003308', 'compactness_se': '0.01315', 'concavity_se': '0.009904', 'concave points_se': '0.004832', 'symmetry_se': '0.01316', 'fractal_dimension_se': '0.002095', 'radius_worst': '15.14', 'texture_worst': '21.8', 'perimeter_worst': '101.2', 'area_worst': '718.9', 'smoothness_worst': '0.09384', 'compactness_worst': '0.2006', 'concavity_worst': '0.1384', 'concave points_worst': '0.06222', 'symmetry_worst': '0.2679', 'fractal_dimension_worst': '0.07698'}
{'id': '911685', 'diagnosis': 'B', 'radius_mean': '11.49', 'texture_mean': '14.59', 'perimeter_mean': '73.99', 'area_mean': '404.9', 'smoothness_mean': '0.1046', 'compactness_mean': '0.08228', 'concavity_mean': '0.05308', 'concave points_mean': '0.01969', 'symmetry_mean': '0.1779', 'fractal_dimension_mean': '0.06574', 'radius_se': '0.2034', 'texture_se': '1.166', 'perimeter_se': '1.567', 'area_se': '14.34', 'smoothness_se': '0.004957', 'compactness_se': '0.02114', 'concavity_se': '0.04156', 'concave points_se': '0.008038', 'symmetry_se': '0.01843', 'fractal_dimension_se': '0.003614', 'radius_worst': '12.4', 'texture_worst': '21.9', 'perimeter_worst': '82.04', 'area_worst': '467.6', 'smoothness_worst': '0.1352', 'compactness_worst': '0.201', 'concavity_worst': '0.2596', 'concave points_worst': '0.07431', 'symmetry_worst': '0.2941', 'fractal_dimension_worst': '0.0918'}
{'id': '911916', 'diagnosis': 'M', 'radius_mean': '16.25', 'texture_mean': '19.51', 'perimeter_mean': '109.8', 'area_mean': '815.8', 'smoothness_mean': '0.1026', 'compactness_mean': '0.1893', 'concavity_mean': '0.2236', 'concave points_mean': '0.09194', 'symmetry_mean': '0.2151', 'fractal_dimension_mean': '0.06578', 'radius_se': '0.3147', 'texture_se': '0.9857', 'perimeter_se': '3.07', 'area_se': '33.12', 'smoothness_se': '0.009197', 'compactness_se': '0.0547', 'concavity_se': '0.08079', 'concave points_se': '0.02215', 'symmetry_se': '0.02773', 'fractal_dimension_se': '0.006355', 'radius_worst': '17.39', 'texture_worst': '23.05', 'perimeter_worst': '122.1', 'area_worst': '939.7', 'smoothness_worst': '0.1377', 'compactness_worst': '0.4462', 'concavity_worst': '0.5897', 'concave points_worst': '0.1775', 'symmetry_worst': '0.3318', 'fractal_dimension_worst': '0.09136'}
{'id': '912193', 'diagnosis': 'B', 'radius_mean': '12.16', 'texture_mean': '18.03', 'perimeter_mean': '78.29', 'area_mean': '455.3', 'smoothness_mean': '0.09087', 'compactness_mean': '0.07838', 'concavity_mean': '0.02916', 'concave points_mean': '0.01527', 'symmetry_mean': '0.1464', 'fractal_dimension_mean': '0.06284', 'radius_se': '0.2194', 'texture_se': '1.19', 'perimeter_se': '1.678', 'area_se': '16.26', 'smoothness_se': '0.004911', 'compactness_se': '0.01666', 'concavity_se': '0.01397', 'concave points_se': '0.005161', 'symmetry_se': '0.01454', 'fractal_dimension_se': '0.001858', 'radius_worst': '13.34', 'texture_worst': '27.87', 'perimeter_worst': '88.83', 'area_worst': '547.4', 'smoothness_worst': '0.1208', 'compactness_worst': '0.2279', 'concavity_worst': '0.162', 'concave points_worst': '0.0569', 'symmetry_worst': '0.2406', 'fractal_dimension_worst': '0.07729'}
{'id': '91227', 'diagnosis': 'B', 'radius_mean': '13.9', 'texture_mean': '19.24', 'perimeter_mean': '88.73', 'area_mean': '602.9', 'smoothness_mean': '0.07991', 'compactness_mean': '0.05326', 'concavity_mean': '0.02995', 'concave points_mean': '0.0207', 'symmetry_mean': '0.1579', 'fractal_dimension_mean': '0.05594', 'radius_se': '0.3316', 'texture_se': '0.9264', 'perimeter_se': '2.056', 'area_se': '28.41', 'smoothness_se': '0.003704', 'compactness_se': '0.01082', 'concavity_se': '0.0153', 'concave points_se': '0.006275', 'symmetry_se': '0.01062', 'fractal_dimension_se': '0.002217', 'radius_worst': '16.41', 'texture_worst': '26.42', 'perimeter_worst': '104.4', 'area_worst': '830.5', 'smoothness_worst': '0.1064', 'compactness_worst': '0.1415', 'concavity_worst': '0.1673', 'concave points_worst': '0.0815', 'symmetry_worst': '0.2356', 'fractal_dimension_worst': '0.07603'}
{'id': '912519', 'diagnosis': 'B', 'radius_mean': '13.47', 'texture_mean': '14.06', 'perimeter_mean': '87.32', 'area_mean': '546.3', 'smoothness_mean': '0.1071', 'compactness_mean': '0.1155', 'concavity_mean': '0.05786', 'concave points_mean': '0.05266', 'symmetry_mean': '0.1779', 'fractal_dimension_mean': '0.06639', 'radius_se': '0.1588', 'texture_se': '0.5733', 'perimeter_se': '1.102', 'area_se': '12.84', 'smoothness_se': '0.00445', 'compactness_se': '0.01452', 'concavity_se': '0.01334', 'concave points_se': '0.008791', 'symmetry_se': '0.01698', 'fractal_dimension_se': '0.002787', 'radius_worst': '14.83', 'texture_worst': '18.32', 'perimeter_worst': '94.94', 'area_worst': '660.2', 'smoothness_worst': '0.1393', 'compactness_worst': '0.2499', 'concavity_worst': '0.1848', 'concave points_worst': '0.1335', 'symmetry_worst': '0.3227', 'fractal_dimension_worst': '0.09326'}
{'id': '912558', 'diagnosis': 'B', 'radius_mean': '13.7', 'texture_mean': '17.64', 'perimeter_mean': '87.76', 'area_mean': '571.1', 'smoothness_mean': '0.0995', 'compactness_mean': '0.07957', 'concavity_mean': '0.04548', 'concave points_mean': '0.0316', 'symmetry_mean': '0.1732', 'fractal_dimension_mean': '0.06088', 'radius_se': '0.2431', 'texture_se': '0.9462', 'perimeter_se': '1.564', 'area_se': '20.64', 'smoothness_se': '0.003245', 'compactness_se': '0.008186', 'concavity_se': '0.01698', 'concave points_se': '0.009233', 'symmetry_se': '0.01285', 'fractal_dimension_se': '0.001524', 'radius_worst': '14.96', 'texture_worst': '23.53', 'perimeter_worst': '95.78', 'area_worst': '686.5', 'smoothness_worst': '0.1199', 'compactness_worst': '0.1346', 'concavity_worst': '0.1742', 'concave points_worst': '0.09077', 'symmetry_worst': '0.2518', 'fractal_dimension_worst': '0.0696'}
{'id': '912600', 'diagnosis': 'B', 'radius_mean': '15.73', 'texture_mean': '11.28', 'perimeter_mean': '102.8', 'area_mean': '747.2', 'smoothness_mean': '0.1043', 'compactness_mean': '0.1299', 'concavity_mean': '0.1191', 'concave points_mean': '0.06211', 'symmetry_mean': '0.1784', 'fractal_dimension_mean': '0.06259', 'radius_se': '0.163', 'texture_se': '0.3871', 'perimeter_se': '1.143', 'area_se': '13.87', 'smoothness_se': '0.006034', 'compactness_se': '0.0182', 'concavity_se': '0.03336', 'concave points_se': '0.01067', 'symmetry_se': '0.01175', 'fractal_dimension_se': '0.002256', 'radius_worst': '17.01', 'texture_worst': '14.2', 'perimeter_worst': '112.5', 'area_worst': '854.3', 'smoothness_worst': '0.1541', 'compactness_worst': '0.2979', 'concavity_worst': '0.4004', 'concave points_worst': '0.1452', 'symmetry_worst': '0.2557', 'fractal_dimension_worst': '0.08181'}
{'id': '913063', 'diagnosis': 'B', 'radius_mean': '12.45', 'texture_mean': '16.41', 'perimeter_mean': '82.85', 'area_mean': '476.7', 'smoothness_mean': '0.09514', 'compactness_mean': '0.1511', 'concavity_mean': '0.1544', 'concave points_mean': '0.04846', 'symmetry_mean': '0.2082', 'fractal_dimension_mean': '0.07325', 'radius_se': '0.3921', 'texture_se': '1.207', 'perimeter_se': '5.004', 'area_se': '30.19', 'smoothness_se': '0.007234', 'compactness_se': '0.07471', 'concavity_se': '0.1114', 'concave points_se': '0.02721', 'symmetry_se': '0.03232', 'fractal_dimension_se': '0.009627', 'radius_worst': '13.78', 'texture_worst': '21.03', 'perimeter_worst': '97.82', 'area_worst': '580.6', 'smoothness_worst': '0.1175', 'compactness_worst': '0.4061', 'concavity_worst': '0.4896', 'concave points_worst': '0.1342', 'symmetry_worst': '0.3231', 'fractal_dimension_worst': '0.1034'}
{'id': '913102', 'diagnosis': 'B', 'radius_mean': '14.64', 'texture_mean': '16.85', 'perimeter_mean': '94.21', 'area_mean': '666', 'smoothness_mean': '0.08641', 'compactness_mean': '0.06698', 'concavity_mean': '0.05192', 'concave points_mean': '0.02791', 'symmetry_mean': '0.1409', 'fractal_dimension_mean': '0.05355', 'radius_se': '0.2204', 'texture_se': '1.006', 'perimeter_se': '1.471', 'area_se': '19.98', 'smoothness_se': '0.003535', 'compactness_se': '0.01393', 'concavity_se': '0.018', 'concave points_se': '0.006144', 'symmetry_se': '0.01254', 'fractal_dimension_se': '0.001219', 'radius_worst': '16.46', 'texture_worst': '25.44', 'perimeter_worst': '106', 'area_worst': '831', 'smoothness_worst': '0.1142', 'compactness_worst': '0.207', 'concavity_worst': '0.2437', 'concave points_worst': '0.07828', 'symmetry_worst': '0.2455', 'fractal_dimension_worst': '0.06596'}
{'id': '913505', 'diagnosis': 'M', 'radius_mean': '19.44', 'texture_mean': '18.82', 'perimeter_mean': '128.1', 'area_mean': '1167', 'smoothness_mean': '0.1089', 'compactness_mean': '0.1448', 'concavity_mean': '0.2256', 'concave points_mean': '0.1194', 'symmetry_mean': '0.1823', 'fractal_dimension_mean': '0.06115', 'radius_se': '0.5659', 'texture_se': '1.408', 'perimeter_se': '3.631', 'area_se': '67.74', 'smoothness_se': '0.005288', 'compactness_se': '0.02833', 'concavity_se': '0.04256', 'concave points_se': '0.01176', 'symmetry_se': '0.01717', 'fractal_dimension_se': '0.003211', 'radius_worst': '23.96', 'texture_worst': '30.39', 'perimeter_worst': '153.9', 'area_worst': '1740', 'smoothness_worst': '0.1514', 'compactness_worst': '0.3725', 'concavity_worst': '0.5936', 'concave points_worst': '0.206', 'symmetry_worst': '0.3266', 'fractal_dimension_worst': '0.09009'}
{'id': '913512', 'diagnosis': 'B', 'radius_mean': '11.68', 'texture_mean': '16.17', 'perimeter_mean': '75.49', 'area_mean': '420.5', 'smoothness_mean': '0.1128', 'compactness_mean': '0.09263', 'concavity_mean': '0.04279', 'concave points_mean': '0.03132', 'symmetry_mean': '0.1853', 'fractal_dimension_mean': '0.06401', 'radius_se': '0.3713', 'texture_se': '1.154', 'perimeter_se': '2.554', 'area_se': '27.57', 'smoothness_se': '0.008998', 'compactness_se': '0.01292', 'concavity_se': '0.01851', 'concave points_se': '0.01167', 'symmetry_se': '0.02152', 'fractal_dimension_se': '0.003213', 'radius_worst': '13.32', 'texture_worst': '21.59', 'perimeter_worst': '86.57', 'area_worst': '549.8', 'smoothness_worst': '0.1526', 'compactness_worst': '0.1477', 'concavity_worst': '0.149', 'concave points_worst': '0.09815', 'symmetry_worst': '0.2804', 'fractal_dimension_worst': '0.08024'}
{'id': '913535', 'diagnosis': 'M', 'radius_mean': '16.69', 'texture_mean': '20.2', 'perimeter_mean': '107.1', 'area_mean': '857.6', 'smoothness_mean': '0.07497', 'compactness_mean': '0.07112', 'concavity_mean': '0.03649', 'concave points_mean': '0.02307', 'symmetry_mean': '0.1846', 'fractal_dimension_mean': '0.05325', 'radius_se': '0.2473', 'texture_se': '0.5679', 'perimeter_se': '1.775', 'area_se': '22.95', 'smoothness_se': '0.002667', 'compactness_se': '0.01446', 'concavity_se': '0.01423', 'concave points_se': '0.005297', 'symmetry_se': '0.01961', 'fractal_dimension_se': '0.0017', 'radius_worst': '19.18', 'texture_worst': '26.56', 'perimeter_worst': '127.3', 'area_worst': '1084', 'smoothness_worst': '0.1009', 'compactness_worst': '0.292', 'concavity_worst': '0.2477', 'concave points_worst': '0.08737', 'symmetry_worst': '0.4677', 'fractal_dimension_worst': '0.07623'}
{'id': '91376701', 'diagnosis': 'B', 'radius_mean': '12.25', 'texture_mean': '22.44', 'perimeter_mean': '78.18', 'area_mean': '466.5', 'smoothness_mean': '0.08192', 'compactness_mean': '0.052', 'concavity_mean': '0.01714', 'concave points_mean': '0.01261', 'symmetry_mean': '0.1544', 'fractal_dimension_mean': '0.05976', 'radius_se': '0.2239', 'texture_se': '1.139', 'perimeter_se': '1.577', 'area_se': '18.04', 'smoothness_se': '0.005096', 'compactness_se': '0.01205', 'concavity_se': '0.00941', 'concave points_se': '0.004551', 'symmetry_se': '0.01608', 'fractal_dimension_se': '0.002399', 'radius_worst': '14.17', 'texture_worst': '31.99', 'perimeter_worst': '92.74', 'area_worst': '622.9', 'smoothness_worst': '0.1256', 'compactness_worst': '0.1804', 'concavity_worst': '0.123', 'concave points_worst': '0.06335', 'symmetry_worst': '0.31', 'fractal_dimension_worst': '0.08203'}
{'id': '91376702', 'diagnosis': 'B', 'radius_mean': '17.85', 'texture_mean': '13.23', 'perimeter_mean': '114.6', 'area_mean': '992.1', 'smoothness_mean': '0.07838', 'compactness_mean': '0.06217', 'concavity_mean': '0.04445', 'concave points_mean': '0.04178', 'symmetry_mean': '0.122', 'fractal_dimension_mean': '0.05243', 'radius_se': '0.4834', 'texture_se': '1.046', 'perimeter_se': '3.163', 'area_se': '50.95', 'smoothness_se': '0.004369', 'compactness_se': '0.008274', 'concavity_se': '0.01153', 'concave points_se': '0.007437', 'symmetry_se': '0.01302', 'fractal_dimension_se': '0.001309', 'radius_worst': '19.82', 'texture_worst': '18.42', 'perimeter_worst': '127.1', 'area_worst': '1210', 'smoothness_worst': '0.09862', 'compactness_worst': '0.09976', 'concavity_worst': '0.1048', 'concave points_worst': '0.08341', 'symmetry_worst': '0.1783', 'fractal_dimension_worst': '0.05871'}
{'id': '914062', 'diagnosis': 'M', 'radius_mean': '18.01', 'texture_mean': '20.56', 'perimeter_mean': '118.4', 'area_mean': '1007', 'smoothness_mean': '0.1001', 'compactness_mean': '0.1289', 'concavity_mean': '0.117', 'concave points_mean': '0.07762', 'symmetry_mean': '0.2116', 'fractal_dimension_mean': '0.06077', 'radius_se': '0.7548', 'texture_se': '1.288', 'perimeter_se': '5.353', 'area_se': '89.74', 'smoothness_se': '0.007997', 'compactness_se': '0.027', 'concavity_se': '0.03737', 'concave points_se': '0.01648', 'symmetry_se': '0.02897', 'fractal_dimension_se': '0.003996', 'radius_worst': '21.53', 'texture_worst': '26.06', 'perimeter_worst': '143.4', 'area_worst': '1426', 'smoothness_worst': '0.1309', 'compactness_worst': '0.2327', 'concavity_worst': '0.2544', 'concave points_worst': '0.1489', 'symmetry_worst': '0.3251', 'fractal_dimension_worst': '0.07625'}
{'id': '914101', 'diagnosis': 'B', 'radius_mean': '12.46', 'texture_mean': '12.83', 'perimeter_mean': '78.83', 'area_mean': '477.3', 'smoothness_mean': '0.07372', 'compactness_mean': '0.04043', 'concavity_mean': '0.007173', 'concave points_mean': '0.01149', 'symmetry_mean': '0.1613', 'fractal_dimension_mean': '0.06013', 'radius_se': '0.3276', 'texture_se': '1.486', 'perimeter_se': '2.108', 'area_se': '24.6', 'smoothness_se': '0.01039', 'compactness_se': '0.01003', 'concavity_se': '0.006416', 'concave points_se': '0.007895', 'symmetry_se': '0.02869', 'fractal_dimension_se': '0.004821', 'radius_worst': '13.19', 'texture_worst': '16.36', 'perimeter_worst': '83.24', 'area_worst': '534', 'smoothness_worst': '0.09439', 'compactness_worst': '0.06477', 'concavity_worst': '0.01674', 'concave points_worst': '0.0268', 'symmetry_worst': '0.228', 'fractal_dimension_worst': '0.07028'}
{'id': '914102', 'diagnosis': 'B', 'radius_mean': '13.16', 'texture_mean': '20.54', 'perimeter_mean': '84.06', 'area_mean': '538.7', 'smoothness_mean': '0.07335', 'compactness_mean': '0.05275', 'concavity_mean': '0.018', 'concave points_mean': '0.01256', 'symmetry_mean': '0.1713', 'fractal_dimension_mean': '0.05888', 'radius_se': '0.3237', 'texture_se': '1.473', 'perimeter_se': '2.326', 'area_se': '26.07', 'smoothness_se': '0.007802', 'compactness_se': '0.02052', 'concavity_se': '0.01341', 'concave points_se': '0.005564', 'symmetry_se': '0.02086', 'fractal_dimension_se': '0.002701', 'radius_worst': '14.5', 'texture_worst': '28.46', 'perimeter_worst': '95.29', 'area_worst': '648.3', 'smoothness_worst': '0.1118', 'compactness_worst': '0.1646', 'concavity_worst': '0.07698', 'concave points_worst': '0.04195', 'symmetry_worst': '0.2687', 'fractal_dimension_worst': '0.07429'}
{'id': '914333', 'diagnosis': 'B', 'radius_mean': '14.87', 'texture_mean': '20.21', 'perimeter_mean': '96.12', 'area_mean': '680.9', 'smoothness_mean': '0.09587', 'compactness_mean': '0.08345', 'concavity_mean': '0.06824', 'concave points_mean': '0.04951', 'symmetry_mean': '0.1487', 'fractal_dimension_mean': '0.05748', 'radius_se': '0.2323', 'texture_se': '1.636', 'perimeter_se': '1.596', 'area_se': '21.84', 'smoothness_se': '0.005415', 'compactness_se': '0.01371', 'concavity_se': '0.02153', 'concave points_se': '0.01183', 'symmetry_se': '0.01959', 'fractal_dimension_se': '0.001812', 'radius_worst': '16.01', 'texture_worst': '28.48', 'perimeter_worst': '103.9', 'area_worst': '783.6', 'smoothness_worst': '0.1216', 'compactness_worst': '0.1388', 'concavity_worst': '0.17', 'concave points_worst': '0.1017', 'symmetry_worst': '0.2369', 'fractal_dimension_worst': '0.06599'}
{'id': '914366', 'diagnosis': 'B', 'radius_mean': '12.65', 'texture_mean': '18.17', 'perimeter_mean': '82.69', 'area_mean': '485.6', 'smoothness_mean': '0.1076', 'compactness_mean': '0.1334', 'concavity_mean': '0.08017', 'concave points_mean': '0.05074', 'symmetry_mean': '0.1641', 'fractal_dimension_mean': '0.06854', 'radius_se': '0.2324', 'texture_se': '0.6332', 'perimeter_se': '1.696', 'area_se': '18.4', 'smoothness_se': '0.005704', 'compactness_se': '0.02502', 'concavity_se': '0.02636', 'concave points_se': '0.01032', 'symmetry_se': '0.01759', 'fractal_dimension_se': '0.003563', 'radius_worst': '14.38', 'texture_worst': '22.15', 'perimeter_worst': '95.29', 'area_worst': '633.7', 'smoothness_worst': '0.1533', 'compactness_worst': '0.3842', 'concavity_worst': '0.3582', 'concave points_worst': '0.1407', 'symmetry_worst': '0.323', 'fractal_dimension_worst': '0.1033'}
{'id': '914580', 'diagnosis': 'B', 'radius_mean': '12.47', 'texture_mean': '17.31', 'perimeter_mean': '80.45', 'area_mean': '480.1', 'smoothness_mean': '0.08928', 'compactness_mean': '0.0763', 'concavity_mean': '0.03609', 'concave points_mean': '0.02369', 'symmetry_mean': '0.1526', 'fractal_dimension_mean': '0.06046', 'radius_se': '0.1532', 'texture_se': '0.781', 'perimeter_se': '1.253', 'area_se': '11.91', 'smoothness_se': '0.003796', 'compactness_se': '0.01371', 'concavity_se': '0.01346', 'concave points_se': '0.007096', 'symmetry_se': '0.01536', 'fractal_dimension_se': '0.001541', 'radius_worst': '14.06', 'texture_worst': '24.34', 'perimeter_worst': '92.82', 'area_worst': '607.3', 'smoothness_worst': '0.1276', 'compactness_worst': '0.2506', 'concavity_worst': '0.2028', 'concave points_worst': '0.1053', 'symmetry_worst': '0.3035', 'fractal_dimension_worst': '0.07661'}
{'id': '914769', 'diagnosis': 'M', 'radius_mean': '18.49', 'texture_mean': '17.52', 'perimeter_mean': '121.3', 'area_mean': '1068', 'smoothness_mean': '0.1012', 'compactness_mean': '0.1317', 'concavity_mean': '0.1491', 'concave points_mean': '0.09183', 'symmetry_mean': '0.1832', 'fractal_dimension_mean': '0.06697', 'radius_se': '0.7923', 'texture_se': '1.045', 'perimeter_se': '4.851', 'area_se': '95.77', 'smoothness_se': '0.007974', 'compactness_se': '0.03214', 'concavity_se': '0.04435', 'concave points_se': '0.01573', 'symmetry_se': '0.01617', 'fractal_dimension_se': '0.005255', 'radius_worst': '22.75', 'texture_worst': '22.88', 'perimeter_worst': '146.4', 'area_worst': '1600', 'smoothness_worst': '0.1412', 'compactness_worst': '0.3089', 'concavity_worst': '0.3533', 'concave points_worst': '0.1663', 'symmetry_worst': '0.251', 'fractal_dimension_worst': '0.09445'}
{'id': '91485', 'diagnosis': 'M', 'radius_mean': '20.59', 'texture_mean': '21.24', 'perimeter_mean': '137.8', 'area_mean': '1320', 'smoothness_mean': '0.1085', 'compactness_mean': '0.1644', 'concavity_mean': '0.2188', 'concave points_mean': '0.1121', 'symmetry_mean': '0.1848', 'fractal_dimension_mean': '0.06222', 'radius_se': '0.5904', 'texture_se': '1.216', 'perimeter_se': '4.206', 'area_se': '75.09', 'smoothness_se': '0.006666', 'compactness_se': '0.02791', 'concavity_se': '0.04062', 'concave points_se': '0.01479', 'symmetry_se': '0.01117', 'fractal_dimension_se': '0.003727', 'radius_worst': '23.86', 'texture_worst': '30.76', 'perimeter_worst': '163.2', 'area_worst': '1760', 'smoothness_worst': '0.1464', 'compactness_worst': '0.3597', 'concavity_worst': '0.5179', 'concave points_worst': '0.2113', 'symmetry_worst': '0.248', 'fractal_dimension_worst': '0.08999'}
{'id': '914862', 'diagnosis': 'B', 'radius_mean': '15.04', 'texture_mean': '16.74', 'perimeter_mean': '98.73', 'area_mean': '689.4', 'smoothness_mean': '0.09883', 'compactness_mean': '0.1364', 'concavity_mean': '0.07721', 'concave points_mean': '0.06142', 'symmetry_mean': '0.1668', 'fractal_dimension_mean': '0.06869', 'radius_se': '0.372', 'texture_se': '0.8423', 'perimeter_se': '2.304', 'area_se': '34.84', 'smoothness_se': '0.004123', 'compactness_se': '0.01819', 'concavity_se': '0.01996', 'concave points_se': '0.01004', 'symmetry_se': '0.01055', 'fractal_dimension_se': '0.003237', 'radius_worst': '16.76', 'texture_worst': '20.43', 'perimeter_worst': '109.7', 'area_worst': '856.9', 'smoothness_worst': '0.1135', 'compactness_worst': '0.2176', 'concavity_worst': '0.1856', 'concave points_worst': '0.1018', 'symmetry_worst': '0.2177', 'fractal_dimension_worst': '0.08549'}
{'id': '91504', 'diagnosis': 'M', 'radius_mean': '13.82', 'texture_mean': '24.49', 'perimeter_mean': '92.33', 'area_mean': '595.9', 'smoothness_mean': '0.1162', 'compactness_mean': '0.1681', 'concavity_mean': '0.1357', 'concave points_mean': '0.06759', 'symmetry_mean': '0.2275', 'fractal_dimension_mean': '0.07237', 'radius_se': '0.4751', 'texture_se': '1.528', 'perimeter_se': '2.974', 'area_se': '39.05', 'smoothness_se': '0.00968', 'compactness_se': '0.03856', 'concavity_se': '0.03476', 'concave points_se': '0.01616', 'symmetry_se': '0.02434', 'fractal_dimension_se': '0.006995', 'radius_worst': '16.01', 'texture_worst': '32.94', 'perimeter_worst': '106', 'area_worst': '788', 'smoothness_worst': '0.1794', 'compactness_worst': '0.3966', 'concavity_worst': '0.3381', 'concave points_worst': '0.1521', 'symmetry_worst': '0.3651', 'fractal_dimension_worst': '0.1183'}
{'id': '91505', 'diagnosis': 'B', 'radius_mean': '12.54', 'texture_mean': '16.32', 'perimeter_mean': '81.25', 'area_mean': '476.3', 'smoothness_mean': '0.1158', 'compactness_mean': '0.1085', 'concavity_mean': '0.05928', 'concave points_mean': '0.03279', 'symmetry_mean': '0.1943', 'fractal_dimension_mean': '0.06612', 'radius_se': '0.2577', 'texture_se': '1.095', 'perimeter_se': '1.566', 'area_se': '18.49', 'smoothness_se': '0.009702', 'compactness_se': '0.01567', 'concavity_se': '0.02575', 'concave points_se': '0.01161', 'symmetry_se': '0.02801', 'fractal_dimension_se': '0.00248', 'radius_worst': '13.57', 'texture_worst': '21.4', 'perimeter_worst': '86.67', 'area_worst': '552', 'smoothness_worst': '0.158', 'compactness_worst': '0.1751', 'concavity_worst': '0.1889', 'concave points_worst': '0.08411', 'symmetry_worst': '0.3155', 'fractal_dimension_worst': '0.07538'}
{'id': '915143', 'diagnosis': 'M', 'radius_mean': '23.09', 'texture_mean': '19.83', 'perimeter_mean': '152.1', 'area_mean': '1682', 'smoothness_mean': '0.09342', 'compactness_mean': '0.1275', 'concavity_mean': '0.1676', 'concave points_mean': '0.1003', 'symmetry_mean': '0.1505', 'fractal_dimension_mean': '0.05484', 'radius_se': '1.291', 'texture_se': '0.7452', 'perimeter_se': '9.635', 'area_se': '180.2', 'smoothness_se': '0.005753', 'compactness_se': '0.03356', 'concavity_se': '0.03976', 'concave points_se': '0.02156', 'symmetry_se': '0.02201', 'fractal_dimension_se': '0.002897', 'radius_worst': '30.79', 'texture_worst': '23.87', 'perimeter_worst': '211.5', 'area_worst': '2782', 'smoothness_worst': '0.1199', 'compactness_worst': '0.3625', 'concavity_worst': '0.3794', 'concave points_worst': '0.2264', 'symmetry_worst': '0.2908', 'fractal_dimension_worst': '0.07277'}
{'id': '915186', 'diagnosis': 'B', 'radius_mean': '9.268', 'texture_mean': '12.87', 'perimeter_mean': '61.49', 'area_mean': '248.7', 'smoothness_mean': '0.1634', 'compactness_mean': '0.2239', 'concavity_mean': '0.0973', 'concave points_mean': '0.05252', 'symmetry_mean': '0.2378', 'fractal_dimension_mean': '0.09502', 'radius_se': '0.4076', 'texture_se': '1.093', 'perimeter_se': '3.014', 'area_se': '20.04', 'smoothness_se': '0.009783', 'compactness_se': '0.04542', 'concavity_se': '0.03483', 'concave points_se': '0.02188', 'symmetry_se': '0.02542', 'fractal_dimension_se': '0.01045', 'radius_worst': '10.28', 'texture_worst': '16.38', 'perimeter_worst': '69.05', 'area_worst': '300.2', 'smoothness_worst': '0.1902', 'compactness_worst': '0.3441', 'concavity_worst': '0.2099', 'concave points_worst': '0.1025', 'symmetry_worst': '0.3038', 'fractal_dimension_worst': '0.1252'}
{'id': '915276', 'diagnosis': 'B', 'radius_mean': '9.676', 'texture_mean': '13.14', 'perimeter_mean': '64.12', 'area_mean': '272.5', 'smoothness_mean': '0.1255', 'compactness_mean': '0.2204', 'concavity_mean': '0.1188', 'concave points_mean': '0.07038', 'symmetry_mean': '0.2057', 'fractal_dimension_mean': '0.09575', 'radius_se': '0.2744', 'texture_se': '1.39', 'perimeter_se': '1.787', 'area_se': '17.67', 'smoothness_se': '0.02177', 'compactness_se': '0.04888', 'concavity_se': '0.05189', 'concave points_se': '0.0145', 'symmetry_se': '0.02632', 'fractal_dimension_se': '0.01148', 'radius_worst': '10.6', 'texture_worst': '18.04', 'perimeter_worst': '69.47', 'area_worst': '328.1', 'smoothness_worst': '0.2006', 'compactness_worst': '0.3663', 'concavity_worst': '0.2913', 'concave points_worst': '0.1075', 'symmetry_worst': '0.2848', 'fractal_dimension_worst': '0.1364'}
{'id': '91544001', 'diagnosis': 'B', 'radius_mean': '12.22', 'texture_mean': '20.04', 'perimeter_mean': '79.47', 'area_mean': '453.1', 'smoothness_mean': '0.1096', 'compactness_mean': '0.1152', 'concavity_mean': '0.08175', 'concave points_mean': '0.02166', 'symmetry_mean': '0.2124', 'fractal_dimension_mean': '0.06894', 'radius_se': '0.1811', 'texture_se': '0.7959', 'perimeter_se': '0.9857', 'area_se': '12.58', 'smoothness_se': '0.006272', 'compactness_se': '0.02198', 'concavity_se': '0.03966', 'concave points_se': '0.009894', 'symmetry_se': '0.0132', 'fractal_dimension_se': '0.003813', 'radius_worst': '13.16', 'texture_worst': '24.17', 'perimeter_worst': '85.13', 'area_worst': '515.3', 'smoothness_worst': '0.1402', 'compactness_worst': '0.2315', 'concavity_worst': '0.3535', 'concave points_worst': '0.08088', 'symmetry_worst': '0.2709', 'fractal_dimension_worst': '0.08839'}
{'id': '91544002', 'diagnosis': 'B', 'radius_mean': '11.06', 'texture_mean': '17.12', 'perimeter_mean': '71.25', 'area_mean': '366.5', 'smoothness_mean': '0.1194', 'compactness_mean': '0.1071', 'concavity_mean': '0.04063', 'concave points_mean': '0.04268', 'symmetry_mean': '0.1954', 'fractal_dimension_mean': '0.07976', 'radius_se': '0.1779', 'texture_se': '1.03', 'perimeter_se': '1.318', 'area_se': '12.3', 'smoothness_se': '0.01262', 'compactness_se': '0.02348', 'concavity_se': '0.018', 'concave points_se': '0.01285', 'symmetry_se': '0.0222', 'fractal_dimension_se': '0.008313', 'radius_worst': '11.69', 'texture_worst': '20.74', 'perimeter_worst': '76.08', 'area_worst': '411.1', 'smoothness_worst': '0.1662', 'compactness_worst': '0.2031', 'concavity_worst': '0.1256', 'concave points_worst': '0.09514', 'symmetry_worst': '0.278', 'fractal_dimension_worst': '0.1168'}
{'id': '915452', 'diagnosis': 'B', 'radius_mean': '16.3', 'texture_mean': '15.7', 'perimeter_mean': '104.7', 'area_mean': '819.8', 'smoothness_mean': '0.09427', 'compactness_mean': '0.06712', 'concavity_mean': '0.05526', 'concave points_mean': '0.04563', 'symmetry_mean': '0.1711', 'fractal_dimension_mean': '0.05657', 'radius_se': '0.2067', 'texture_se': '0.4706', 'perimeter_se': '1.146', 'area_se': '20.67', 'smoothness_se': '0.007394', 'compactness_se': '0.01203', 'concavity_se': '0.0247', 'concave points_se': '0.01431', 'symmetry_se': '0.01344', 'fractal_dimension_se': '0.002569', 'radius_worst': '17.32', 'texture_worst': '17.76', 'perimeter_worst': '109.8', 'area_worst': '928.2', 'smoothness_worst': '0.1354', 'compactness_worst': '0.1361', 'concavity_worst': '0.1947', 'concave points_worst': '0.1357', 'symmetry_worst': '0.23', 'fractal_dimension_worst': '0.0723'}
{'id': '915460', 'diagnosis': 'M', 'radius_mean': '15.46', 'texture_mean': '23.95', 'perimeter_mean': '103.8', 'area_mean': '731.3', 'smoothness_mean': '0.1183', 'compactness_mean': '0.187', 'concavity_mean': '0.203', 'concave points_mean': '0.0852', 'symmetry_mean': '0.1807', 'fractal_dimension_mean': '0.07083', 'radius_se': '0.3331', 'texture_se': '1.961', 'perimeter_se': '2.937', 'area_se': '32.52', 'smoothness_se': '0.009538', 'compactness_se': '0.0494', 'concavity_se': '0.06019', 'concave points_se': '0.02041', 'symmetry_se': '0.02105', 'fractal_dimension_se': '0.006', 'radius_worst': '17.11', 'texture_worst': '36.33', 'perimeter_worst': '117.7', 'area_worst': '909.4', 'smoothness_worst': '0.1732', 'compactness_worst': '0.4967', 'concavity_worst': '0.5911', 'concave points_worst': '0.2163', 'symmetry_worst': '0.3013', 'fractal_dimension_worst': '0.1067'}
{'id': '91550', 'diagnosis': 'B', 'radius_mean': '11.74', 'texture_mean': '14.69', 'perimeter_mean': '76.31', 'area_mean': '426', 'smoothness_mean': '0.08099', 'compactness_mean': '0.09661', 'concavity_mean': '0.06726', 'concave points_mean': '0.02639', 'symmetry_mean': '0.1499', 'fractal_dimension_mean': '0.06758', 'radius_se': '0.1924', 'texture_se': '0.6417', 'perimeter_se': '1.345', 'area_se': '13.04', 'smoothness_se': '0.006982', 'compactness_se': '0.03916', 'concavity_se': '0.04017', 'concave points_se': '0.01528', 'symmetry_se': '0.0226', 'fractal_dimension_se': '0.006822', 'radius_worst': '12.45', 'texture_worst': '17.6', 'perimeter_worst': '81.25', 'area_worst': '473.8', 'smoothness_worst': '0.1073', 'compactness_worst': '0.2793', 'concavity_worst': '0.269', 'concave points_worst': '0.1056', 'symmetry_worst': '0.2604', 'fractal_dimension_worst': '0.09879'}
{'id': '915664', 'diagnosis': 'B', 'radius_mean': '14.81', 'texture_mean': '14.7', 'perimeter_mean': '94.66', 'area_mean': '680.7', 'smoothness_mean': '0.08472', 'compactness_mean': '0.05016', 'concavity_mean': '0.03416', 'concave points_mean': '0.02541', 'symmetry_mean': '0.1659', 'fractal_dimension_mean': '0.05348', 'radius_se': '0.2182', 'texture_se': '0.6232', 'perimeter_se': '1.677', 'area_se': '20.72', 'smoothness_se': '0.006708', 'compactness_se': '0.01197', 'concavity_se': '0.01482', 'concave points_se': '0.01056', 'symmetry_se': '0.0158', 'fractal_dimension_se': '0.001779', 'radius_worst': '15.61', 'texture_worst': '17.58', 'perimeter_worst': '101.7', 'area_worst': '760.2', 'smoothness_worst': '0.1139', 'compactness_worst': '0.1011', 'concavity_worst': '0.1101', 'concave points_worst': '0.07955', 'symmetry_worst': '0.2334', 'fractal_dimension_worst': '0.06142'}
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{'id': '915940', 'diagnosis': 'B', 'radius_mean': '14.58', 'texture_mean': '13.66', 'perimeter_mean': '94.29', 'area_mean': '658.8', 'smoothness_mean': '0.09832', 'compactness_mean': '0.08918', 'concavity_mean': '0.08222', 'concave points_mean': '0.04349', 'symmetry_mean': '0.1739', 'fractal_dimension_mean': '0.0564', 'radius_se': '0.4165', 'texture_se': '0.6237', 'perimeter_se': '2.561', 'area_se': '37.11', 'smoothness_se': '0.004953', 'compactness_se': '0.01812', 'concavity_se': '0.03035', 'concave points_se': '0.008648', 'symmetry_se': '0.01539', 'fractal_dimension_se': '0.002281', 'radius_worst': '16.76', 'texture_worst': '17.24', 'perimeter_worst': '108.5', 'area_worst': '862', 'smoothness_worst': '0.1223', 'compactness_worst': '0.1928', 'concavity_worst': '0.2492', 'concave points_worst': '0.09186', 'symmetry_worst': '0.2626', 'fractal_dimension_worst': '0.07048'}
{'id': '91594602', 'diagnosis': 'M', 'radius_mean': '15.05', 'texture_mean': '19.07', 'perimeter_mean': '97.26', 'area_mean': '701.9', 'smoothness_mean': '0.09215', 'compactness_mean': '0.08597', 'concavity_mean': '0.07486', 'concave points_mean': '0.04335', 'symmetry_mean': '0.1561', 'fractal_dimension_mean': '0.05915', 'radius_se': '0.386', 'texture_se': '1.198', 'perimeter_se': '2.63', 'area_se': '38.49', 'smoothness_se': '0.004952', 'compactness_se': '0.0163', 'concavity_se': '0.02967', 'concave points_se': '0.009423', 'symmetry_se': '0.01152', 'fractal_dimension_se': '0.001718', 'radius_worst': '17.58', 'texture_worst': '28.06', 'perimeter_worst': '113.8', 'area_worst': '967', 'smoothness_worst': '0.1246', 'compactness_worst': '0.2101', 'concavity_worst': '0.2866', 'concave points_worst': '0.112', 'symmetry_worst': '0.2282', 'fractal_dimension_worst': '0.06954'}
{'id': '916221', 'diagnosis': 'B', 'radius_mean': '11.34', 'texture_mean': '18.61', 'perimeter_mean': '72.76', 'area_mean': '391.2', 'smoothness_mean': '0.1049', 'compactness_mean': '0.08499', 'concavity_mean': '0.04302', 'concave points_mean': '0.02594', 'symmetry_mean': '0.1927', 'fractal_dimension_mean': '0.06211', 'radius_se': '0.243', 'texture_se': '1.01', 'perimeter_se': '1.491', 'area_se': '18.19', 'smoothness_se': '0.008577', 'compactness_se': '0.01641', 'concavity_se': '0.02099', 'concave points_se': '0.01107', 'symmetry_se': '0.02434', 'fractal_dimension_se': '0.001217', 'radius_worst': '12.47', 'texture_worst': '23.03', 'perimeter_worst': '79.15', 'area_worst': '478.6', 'smoothness_worst': '0.1483', 'compactness_worst': '0.1574', 'concavity_worst': '0.1624', 'concave points_worst': '0.08542', 'symmetry_worst': '0.306', 'fractal_dimension_worst': '0.06783'}
{'id': '916799', 'diagnosis': 'M', 'radius_mean': '18.31', 'texture_mean': '20.58', 'perimeter_mean': '120.8', 'area_mean': '1052', 'smoothness_mean': '0.1068', 'compactness_mean': '0.1248', 'concavity_mean': '0.1569', 'concave points_mean': '0.09451', 'symmetry_mean': '0.186', 'fractal_dimension_mean': '0.05941', 'radius_se': '0.5449', 'texture_se': '0.9225', 'perimeter_se': '3.218', 'area_se': '67.36', 'smoothness_se': '0.006176', 'compactness_se': '0.01877', 'concavity_se': '0.02913', 'concave points_se': '0.01046', 'symmetry_se': '0.01559', 'fractal_dimension_se': '0.002725', 'radius_worst': '21.86', 'texture_worst': '26.2', 'perimeter_worst': '142.2', 'area_worst': '1493', 'smoothness_worst': '0.1492', 'compactness_worst': '0.2536', 'concavity_worst': '0.3759', 'concave points_worst': '0.151', 'symmetry_worst': '0.3074', 'fractal_dimension_worst': '0.07863'}
{'id': '916838', 'diagnosis': 'M', 'radius_mean': '19.89', 'texture_mean': '20.26', 'perimeter_mean': '130.5', 'area_mean': '1214', 'smoothness_mean': '0.1037', 'compactness_mean': '0.131', 'concavity_mean': '0.1411', 'concave points_mean': '0.09431', 'symmetry_mean': '0.1802', 'fractal_dimension_mean': '0.06188', 'radius_se': '0.5079', 'texture_se': '0.8737', 'perimeter_se': '3.654', 'area_se': '59.7', 'smoothness_se': '0.005089', 'compactness_se': '0.02303', 'concavity_se': '0.03052', 'concave points_se': '0.01178', 'symmetry_se': '0.01057', 'fractal_dimension_se': '0.003391', 'radius_worst': '23.73', 'texture_worst': '25.23', 'perimeter_worst': '160.5', 'area_worst': '1646', 'smoothness_worst': '0.1417', 'compactness_worst': '0.3309', 'concavity_worst': '0.4185', 'concave points_worst': '0.1613', 'symmetry_worst': '0.2549', 'fractal_dimension_worst': '0.09136'}
{'id': '917062', 'diagnosis': 'B', 'radius_mean': '12.88', 'texture_mean': '18.22', 'perimeter_mean': '84.45', 'area_mean': '493.1', 'smoothness_mean': '0.1218', 'compactness_mean': '0.1661', 'concavity_mean': '0.04825', 'concave points_mean': '0.05303', 'symmetry_mean': '0.1709', 'fractal_dimension_mean': '0.07253', 'radius_se': '0.4426', 'texture_se': '1.169', 'perimeter_se': '3.176', 'area_se': '34.37', 'smoothness_se': '0.005273', 'compactness_se': '0.02329', 'concavity_se': '0.01405', 'concave points_se': '0.01244', 'symmetry_se': '0.01816', 'fractal_dimension_se': '0.003299', 'radius_worst': '15.05', 'texture_worst': '24.37', 'perimeter_worst': '99.31', 'area_worst': '674.7', 'smoothness_worst': '0.1456', 'compactness_worst': '0.2961', 'concavity_worst': '0.1246', 'concave points_worst': '0.1096', 'symmetry_worst': '0.2582', 'fractal_dimension_worst': '0.08893'}
{'id': '917080', 'diagnosis': 'B', 'radius_mean': '12.75', 'texture_mean': '16.7', 'perimeter_mean': '82.51', 'area_mean': '493.8', 'smoothness_mean': '0.1125', 'compactness_mean': '0.1117', 'concavity_mean': '0.0388', 'concave points_mean': '0.02995', 'symmetry_mean': '0.212', 'fractal_dimension_mean': '0.06623', 'radius_se': '0.3834', 'texture_se': '1.003', 'perimeter_se': '2.495', 'area_se': '28.62', 'smoothness_se': '0.007509', 'compactness_se': '0.01561', 'concavity_se': '0.01977', 'concave points_se': '0.009199', 'symmetry_se': '0.01805', 'fractal_dimension_se': '0.003629', 'radius_worst': '14.45', 'texture_worst': '21.74', 'perimeter_worst': '93.63', 'area_worst': '624.1', 'smoothness_worst': '0.1475', 'compactness_worst': '0.1979', 'concavity_worst': '0.1423', 'concave points_worst': '0.08045', 'symmetry_worst': '0.3071', 'fractal_dimension_worst': '0.08557'}
{'id': '917092', 'diagnosis': 'B', 'radius_mean': '9.295', 'texture_mean': '13.9', 'perimeter_mean': '59.96', 'area_mean': '257.8', 'smoothness_mean': '0.1371', 'compactness_mean': '0.1225', 'concavity_mean': '0.03332', 'concave points_mean': '0.02421', 'symmetry_mean': '0.2197', 'fractal_dimension_mean': '0.07696', 'radius_se': '0.3538', 'texture_se': '1.13', 'perimeter_se': '2.388', 'area_se': '19.63', 'smoothness_se': '0.01546', 'compactness_se': '0.0254', 'concavity_se': '0.02197', 'concave points_se': '0.0158', 'symmetry_se': '0.03997', 'fractal_dimension_se': '0.003901', 'radius_worst': '10.57', 'texture_worst': '17.84', 'perimeter_worst': '67.84', 'area_worst': '326.6', 'smoothness_worst': '0.185', 'compactness_worst': '0.2097', 'concavity_worst': '0.09996', 'concave points_worst': '0.07262', 'symmetry_worst': '0.3681', 'fractal_dimension_worst': '0.08982'}
{'id': '91762702', 'diagnosis': 'M', 'radius_mean': '24.63', 'texture_mean': '21.6', 'perimeter_mean': '165.5', 'area_mean': '1841', 'smoothness_mean': '0.103', 'compactness_mean': '0.2106', 'concavity_mean': '0.231', 'concave points_mean': '0.1471', 'symmetry_mean': '0.1991', 'fractal_dimension_mean': '0.06739', 'radius_se': '0.9915', 'texture_se': '0.9004', 'perimeter_se': '7.05', 'area_se': '139.9', 'smoothness_se': '0.004989', 'compactness_se': '0.03212', 'concavity_se': '0.03571', 'concave points_se': '0.01597', 'symmetry_se': '0.01879', 'fractal_dimension_se': '0.00476', 'radius_worst': '29.92', 'texture_worst': '26.93', 'perimeter_worst': '205.7', 'area_worst': '2642', 'smoothness_worst': '0.1342', 'compactness_worst': '0.4188', 'concavity_worst': '0.4658', 'concave points_worst': '0.2475', 'symmetry_worst': '0.3157', 'fractal_dimension_worst': '0.09671'}
{'id': '91789', 'diagnosis': 'B', 'radius_mean': '11.26', 'texture_mean': '19.83', 'perimeter_mean': '71.3', 'area_mean': '388.1', 'smoothness_mean': '0.08511', 'compactness_mean': '0.04413', 'concavity_mean': '0.005067', 'concave points_mean': '0.005664', 'symmetry_mean': '0.1637', 'fractal_dimension_mean': '0.06343', 'radius_se': '0.1344', 'texture_se': '1.083', 'perimeter_se': '0.9812', 'area_se': '9.332', 'smoothness_se': '0.0042', 'compactness_se': '0.0059', 'concavity_se': '0.003846', 'concave points_se': '0.004065', 'symmetry_se': '0.01487', 'fractal_dimension_se': '0.002295', 'radius_worst': '11.93', 'texture_worst': '26.43', 'perimeter_worst': '76.38', 'area_worst': '435.9', 'smoothness_worst': '0.1108', 'compactness_worst': '0.07723', 'concavity_worst': '0.02533', 'concave points_worst': '0.02832', 'symmetry_worst': '0.2557', 'fractal_dimension_worst': '0.07613'}
{'id': '917896', 'diagnosis': 'B', 'radius_mean': '13.71', 'texture_mean': '18.68', 'perimeter_mean': '88.73', 'area_mean': '571', 'smoothness_mean': '0.09916', 'compactness_mean': '0.107', 'concavity_mean': '0.05385', 'concave points_mean': '0.03783', 'symmetry_mean': '0.1714', 'fractal_dimension_mean': '0.06843', 'radius_se': '0.3191', 'texture_se': '1.249', 'perimeter_se': '2.284', 'area_se': '26.45', 'smoothness_se': '0.006739', 'compactness_se': '0.02251', 'concavity_se': '0.02086', 'concave points_se': '0.01352', 'symmetry_se': '0.0187', 'fractal_dimension_se': '0.003747', 'radius_worst': '15.11', 'texture_worst': '25.63', 'perimeter_worst': '99.43', 'area_worst': '701.9', 'smoothness_worst': '0.1425', 'compactness_worst': '0.2566', 'concavity_worst': '0.1935', 'concave points_worst': '0.1284', 'symmetry_worst': '0.2849', 'fractal_dimension_worst': '0.09031'}
{'id': '917897', 'diagnosis': 'B', 'radius_mean': '9.847', 'texture_mean': '15.68', 'perimeter_mean': '63', 'area_mean': '293.2', 'smoothness_mean': '0.09492', 'compactness_mean': '0.08419', 'concavity_mean': '0.0233', 'concave points_mean': '0.02416', 'symmetry_mean': '0.1387', 'fractal_dimension_mean': '0.06891', 'radius_se': '0.2498', 'texture_se': '1.216', 'perimeter_se': '1.976', 'area_se': '15.24', 'smoothness_se': '0.008732', 'compactness_se': '0.02042', 'concavity_se': '0.01062', 'concave points_se': '0.006801', 'symmetry_se': '0.01824', 'fractal_dimension_se': '0.003494', 'radius_worst': '11.24', 'texture_worst': '22.99', 'perimeter_worst': '74.32', 'area_worst': '376.5', 'smoothness_worst': '0.1419', 'compactness_worst': '0.2243', 'concavity_worst': '0.08434', 'concave points_worst': '0.06528', 'symmetry_worst': '0.2502', 'fractal_dimension_worst': '0.09209'}
{'id': '91805', 'diagnosis': 'B', 'radius_mean': '8.571', 'texture_mean': '13.1', 'perimeter_mean': '54.53', 'area_mean': '221.3', 'smoothness_mean': '0.1036', 'compactness_mean': '0.07632', 'concavity_mean': '0.02565', 'concave points_mean': '0.0151', 'symmetry_mean': '0.1678', 'fractal_dimension_mean': '0.07126', 'radius_se': '0.1267', 'texture_se': '0.6793', 'perimeter_se': '1.069', 'area_se': '7.254', 'smoothness_se': '0.007897', 'compactness_se': '0.01762', 'concavity_se': '0.01801', 'concave points_se': '0.00732', 'symmetry_se': '0.01592', 'fractal_dimension_se': '0.003925', 'radius_worst': '9.473', 'texture_worst': '18.45', 'perimeter_worst': '63.3', 'area_worst': '275.6', 'smoothness_worst': '0.1641', 'compactness_worst': '0.2235', 'concavity_worst': '0.1754', 'concave points_worst': '0.08512', 'symmetry_worst': '0.2983', 'fractal_dimension_worst': '0.1049'}
{'id': '91813701', 'diagnosis': 'B', 'radius_mean': '13.46', 'texture_mean': '18.75', 'perimeter_mean': '87.44', 'area_mean': '551.1', 'smoothness_mean': '0.1075', 'compactness_mean': '0.1138', 'concavity_mean': '0.04201', 'concave points_mean': '0.03152', 'symmetry_mean': '0.1723', 'fractal_dimension_mean': '0.06317', 'radius_se': '0.1998', 'texture_se': '0.6068', 'perimeter_se': '1.443', 'area_se': '16.07', 'smoothness_se': '0.004413', 'compactness_se': '0.01443', 'concavity_se': '0.01509', 'concave points_se': '0.007369', 'symmetry_se': '0.01354', 'fractal_dimension_se': '0.001787', 'radius_worst': '15.35', 'texture_worst': '25.16', 'perimeter_worst': '101.9', 'area_worst': '719.8', 'smoothness_worst': '0.1624', 'compactness_worst': '0.3124', 'concavity_worst': '0.2654', 'concave points_worst': '0.1427', 'symmetry_worst': '0.3518', 'fractal_dimension_worst': '0.08665'}
{'id': '91813702', 'diagnosis': 'B', 'radius_mean': '12.34', 'texture_mean': '12.27', 'perimeter_mean': '78.94', 'area_mean': '468.5', 'smoothness_mean': '0.09003', 'compactness_mean': '0.06307', 'concavity_mean': '0.02958', 'concave points_mean': '0.02647', 'symmetry_mean': '0.1689', 'fractal_dimension_mean': '0.05808', 'radius_se': '0.1166', 'texture_se': '0.4957', 'perimeter_se': '0.7714', 'area_se': '8.955', 'smoothness_se': '0.003681', 'compactness_se': '0.009169', 'concavity_se': '0.008732', 'concave points_se': '0.00574', 'symmetry_se': '0.01129', 'fractal_dimension_se': '0.001366', 'radius_worst': '13.61', 'texture_worst': '19.27', 'perimeter_worst': '87.22', 'area_worst': '564.9', 'smoothness_worst': '0.1292', 'compactness_worst': '0.2074', 'concavity_worst': '0.1791', 'concave points_worst': '0.107', 'symmetry_worst': '0.311', 'fractal_dimension_worst': '0.07592'}
{'id': '918192', 'diagnosis': 'B', 'radius_mean': '13.94', 'texture_mean': '13.17', 'perimeter_mean': '90.31', 'area_mean': '594.2', 'smoothness_mean': '0.1248', 'compactness_mean': '0.09755', 'concavity_mean': '0.101', 'concave points_mean': '0.06615', 'symmetry_mean': '0.1976', 'fractal_dimension_mean': '0.06457', 'radius_se': '0.5461', 'texture_se': '2.635', 'perimeter_se': '4.091', 'area_se': '44.74', 'smoothness_se': '0.01004', 'compactness_se': '0.03247', 'concavity_se': '0.04763', 'concave points_se': '0.02853', 'symmetry_se': '0.01715', 'fractal_dimension_se': '0.005528', 'radius_worst': '14.62', 'texture_worst': '15.38', 'perimeter_worst': '94.52', 'area_worst': '653.3', 'smoothness_worst': '0.1394', 'compactness_worst': '0.1364', 'concavity_worst': '0.1559', 'concave points_worst': '0.1015', 'symmetry_worst': '0.216', 'fractal_dimension_worst': '0.07253'}
{'id': '918465', 'diagnosis': 'B', 'radius_mean': '12.07', 'texture_mean': '13.44', 'perimeter_mean': '77.83', 'area_mean': '445.2', 'smoothness_mean': '0.11', 'compactness_mean': '0.09009', 'concavity_mean': '0.03781', 'concave points_mean': '0.02798', 'symmetry_mean': '0.1657', 'fractal_dimension_mean': '0.06608', 'radius_se': '0.2513', 'texture_se': '0.504', 'perimeter_se': '1.714', 'area_se': '18.54', 'smoothness_se': '0.007327', 'compactness_se': '0.01153', 'concavity_se': '0.01798', 'concave points_se': '0.007986', 'symmetry_se': '0.01962', 'fractal_dimension_se': '0.002234', 'radius_worst': '13.45', 'texture_worst': '15.77', 'perimeter_worst': '86.92', 'area_worst': '549.9', 'smoothness_worst': '0.1521', 'compactness_worst': '0.1632', 'concavity_worst': '0.1622', 'concave points_worst': '0.07393', 'symmetry_worst': '0.2781', 'fractal_dimension_worst': '0.08052'}
{'id': '91858', 'diagnosis': 'B', 'radius_mean': '11.75', 'texture_mean': '17.56', 'perimeter_mean': '75.89', 'area_mean': '422.9', 'smoothness_mean': '0.1073', 'compactness_mean': '0.09713', 'concavity_mean': '0.05282', 'concave points_mean': '0.0444', 'symmetry_mean': '0.1598', 'fractal_dimension_mean': '0.06677', 'radius_se': '0.4384', 'texture_se': '1.907', 'perimeter_se': '3.149', 'area_se': '30.66', 'smoothness_se': '0.006587', 'compactness_se': '0.01815', 'concavity_se': '0.01737', 'concave points_se': '0.01316', 'symmetry_se': '0.01835', 'fractal_dimension_se': '0.002318', 'radius_worst': '13.5', 'texture_worst': '27.98', 'perimeter_worst': '88.52', 'area_worst': '552.3', 'smoothness_worst': '0.1349', 'compactness_worst': '0.1854', 'concavity_worst': '0.1366', 'concave points_worst': '0.101', 'symmetry_worst': '0.2478', 'fractal_dimension_worst': '0.07757'}
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{'id': '923748', 'diagnosis': 'B', 'radius_mean': '10.86', 'texture_mean': '21.48', 'perimeter_mean': '68.51', 'area_mean': '360.5', 'smoothness_mean': '0.07431', 'compactness_mean': '0.04227', 'concavity_mean': '0', 'concave points_mean': '0', 'symmetry_mean': '0.1661', 'fractal_dimension_mean': '0.05948', 'radius_se': '0.3163', 'texture_se': '1.304', 'perimeter_se': '2.115', 'area_se': '20.67', 'smoothness_se': '0.009579', 'compactness_se': '0.01104', 'concavity_se': '0', 'concave points_se': '0', 'symmetry_se': '0.03004', 'fractal_dimension_se': '0.002228', 'radius_worst': '11.66', 'texture_worst': '24.77', 'perimeter_worst': '74.08', 'area_worst': '412.3', 'smoothness_worst': '0.1001', 'compactness_worst': '0.07348', 'concavity_worst': '0', 'concave points_worst': '0', 'symmetry_worst': '0.2458', 'fractal_dimension_worst': '0.06592'}
{'id': '923780', 'diagnosis': 'B', 'radius_mean': '11.13', 'texture_mean': '22.44', 'perimeter_mean': '71.49', 'area_mean': '378.4', 'smoothness_mean': '0.09566', 'compactness_mean': '0.08194', 'concavity_mean': '0.04824', 'concave points_mean': '0.02257', 'symmetry_mean': '0.203', 'fractal_dimension_mean': '0.06552', 'radius_se': '0.28', 'texture_se': '1.467', 'perimeter_se': '1.994', 'area_se': '17.85', 'smoothness_se': '0.003495', 'compactness_se': '0.03051', 'concavity_se': '0.03445', 'concave points_se': '0.01024', 'symmetry_se': '0.02912', 'fractal_dimension_se': '0.004723', 'radius_worst': '12.02', 'texture_worst': '28.26', 'perimeter_worst': '77.8', 'area_worst': '436.6', 'smoothness_worst': '0.1087', 'compactness_worst': '0.1782', 'concavity_worst': '0.1564', 'concave points_worst': '0.06413', 'symmetry_worst': '0.3169', 'fractal_dimension_worst': '0.08032'}
{'id': '924084', 'diagnosis': 'B', 'radius_mean': '12.77', 'texture_mean': '29.43', 'perimeter_mean': '81.35', 'area_mean': '507.9', 'smoothness_mean': '0.08276', 'compactness_mean': '0.04234', 'concavity_mean': '0.01997', 'concave points_mean': '0.01499', 'symmetry_mean': '0.1539', 'fractal_dimension_mean': '0.05637', 'radius_se': '0.2409', 'texture_se': '1.367', 'perimeter_se': '1.477', 'area_se': '18.76', 'smoothness_se': '0.008835', 'compactness_se': '0.01233', 'concavity_se': '0.01328', 'concave points_se': '0.009305', 'symmetry_se': '0.01897', 'fractal_dimension_se': '0.001726', 'radius_worst': '13.87', 'texture_worst': '36', 'perimeter_worst': '88.1', 'area_worst': '594.7', 'smoothness_worst': '0.1234', 'compactness_worst': '0.1064', 'concavity_worst': '0.08653', 'concave points_worst': '0.06498', 'symmetry_worst': '0.2407', 'fractal_dimension_worst': '0.06484'}
{'id': '924342', 'diagnosis': 'B', 'radius_mean': '9.333', 'texture_mean': '21.94', 'perimeter_mean': '59.01', 'area_mean': '264', 'smoothness_mean': '0.0924', 'compactness_mean': '0.05605', 'concavity_mean': '0.03996', 'concave points_mean': '0.01282', 'symmetry_mean': '0.1692', 'fractal_dimension_mean': '0.06576', 'radius_se': '0.3013', 'texture_se': '1.879', 'perimeter_se': '2.121', 'area_se': '17.86', 'smoothness_se': '0.01094', 'compactness_se': '0.01834', 'concavity_se': '0.03996', 'concave points_se': '0.01282', 'symmetry_se': '0.03759', 'fractal_dimension_se': '0.004623', 'radius_worst': '9.845', 'texture_worst': '25.05', 'perimeter_worst': '62.86', 'area_worst': '295.8', 'smoothness_worst': '0.1103', 'compactness_worst': '0.08298', 'concavity_worst': '0.07993', 'concave points_worst': '0.02564', 'symmetry_worst': '0.2435', 'fractal_dimension_worst': '0.07393'}
{'id': '924632', 'diagnosis': 'B', 'radius_mean': '12.88', 'texture_mean': '28.92', 'perimeter_mean': '82.5', 'area_mean': '514.3', 'smoothness_mean': '0.08123', 'compactness_mean': '0.05824', 'concavity_mean': '0.06195', 'concave points_mean': '0.02343', 'symmetry_mean': '0.1566', 'fractal_dimension_mean': '0.05708', 'radius_se': '0.2116', 'texture_se': '1.36', 'perimeter_se': '1.502', 'area_se': '16.83', 'smoothness_se': '0.008412', 'compactness_se': '0.02153', 'concavity_se': '0.03898', 'concave points_se': '0.00762', 'symmetry_se': '0.01695', 'fractal_dimension_se': '0.002801', 'radius_worst': '13.89', 'texture_worst': '35.74', 'perimeter_worst': '88.84', 'area_worst': '595.7', 'smoothness_worst': '0.1227', 'compactness_worst': '0.162', 'concavity_worst': '0.2439', 'concave points_worst': '0.06493', 'symmetry_worst': '0.2372', 'fractal_dimension_worst': '0.07242'}
{'id': '924934', 'diagnosis': 'B', 'radius_mean': '10.29', 'texture_mean': '27.61', 'perimeter_mean': '65.67', 'area_mean': '321.4', 'smoothness_mean': '0.0903', 'compactness_mean': '0.07658', 'concavity_mean': '0.05999', 'concave points_mean': '0.02738', 'symmetry_mean': '0.1593', 'fractal_dimension_mean': '0.06127', 'radius_se': '0.2199', 'texture_se': '2.239', 'perimeter_se': '1.437', 'area_se': '14.46', 'smoothness_se': '0.01205', 'compactness_se': '0.02736', 'concavity_se': '0.04804', 'concave points_se': '0.01721', 'symmetry_se': '0.01843', 'fractal_dimension_se': '0.004938', 'radius_worst': '10.84', 'texture_worst': '34.91', 'perimeter_worst': '69.57', 'area_worst': '357.6', 'smoothness_worst': '0.1384', 'compactness_worst': '0.171', 'concavity_worst': '0.2', 'concave points_worst': '0.09127', 'symmetry_worst': '0.2226', 'fractal_dimension_worst': '0.08283'}
{'id': '924964', 'diagnosis': 'B', 'radius_mean': '10.16', 'texture_mean': '19.59', 'perimeter_mean': '64.73', 'area_mean': '311.7', 'smoothness_mean': '0.1003', 'compactness_mean': '0.07504', 'concavity_mean': '0.005025', 'concave points_mean': '0.01116', 'symmetry_mean': '0.1791', 'fractal_dimension_mean': '0.06331', 'radius_se': '0.2441', 'texture_se': '2.09', 'perimeter_se': '1.648', 'area_se': '16.8', 'smoothness_se': '0.01291', 'compactness_se': '0.02222', 'concavity_se': '0.004174', 'concave points_se': '0.007082', 'symmetry_se': '0.02572', 'fractal_dimension_se': '0.002278', 'radius_worst': '10.65', 'texture_worst': '22.88', 'perimeter_worst': '67.88', 'area_worst': '347.3', 'smoothness_worst': '0.1265', 'compactness_worst': '0.12', 'concavity_worst': '0.01005', 'concave points_worst': '0.02232', 'symmetry_worst': '0.2262', 'fractal_dimension_worst': '0.06742'}
{'id': '925236', 'diagnosis': 'B', 'radius_mean': '9.423', 'texture_mean': '27.88', 'perimeter_mean': '59.26', 'area_mean': '271.3', 'smoothness_mean': '0.08123', 'compactness_mean': '0.04971', 'concavity_mean': '0', 'concave points_mean': '0', 'symmetry_mean': '0.1742', 'fractal_dimension_mean': '0.06059', 'radius_se': '0.5375', 'texture_se': '2.927', 'perimeter_se': '3.618', 'area_se': '29.11', 'smoothness_se': '0.01159', 'compactness_se': '0.01124', 'concavity_se': '0', 'concave points_se': '0', 'symmetry_se': '0.03004', 'fractal_dimension_se': '0.003324', 'radius_worst': '10.49', 'texture_worst': '34.24', 'perimeter_worst': '66.5', 'area_worst': '330.6', 'smoothness_worst': '0.1073', 'compactness_worst': '0.07158', 'concavity_worst': '0', 'concave points_worst': '0', 'symmetry_worst': '0.2475', 'fractal_dimension_worst': '0.06969'}
{'id': '925277', 'diagnosis': 'B', 'radius_mean': '14.59', 'texture_mean': '22.68', 'perimeter_mean': '96.39', 'area_mean': '657.1', 'smoothness_mean': '0.08473', 'compactness_mean': '0.133', 'concavity_mean': '0.1029', 'concave points_mean': '0.03736', 'symmetry_mean': '0.1454', 'fractal_dimension_mean': '0.06147', 'radius_se': '0.2254', 'texture_se': '1.108', 'perimeter_se': '2.224', 'area_se': '19.54', 'smoothness_se': '0.004242', 'compactness_se': '0.04639', 'concavity_se': '0.06578', 'concave points_se': '0.01606', 'symmetry_se': '0.01638', 'fractal_dimension_se': '0.004406', 'radius_worst': '15.48', 'texture_worst': '27.27', 'perimeter_worst': '105.9', 'area_worst': '733.5', 'smoothness_worst': '0.1026', 'compactness_worst': '0.3171', 'concavity_worst': '0.3662', 'concave points_worst': '0.1105', 'symmetry_worst': '0.2258', 'fractal_dimension_worst': '0.08004'}
{'id': '925291', 'diagnosis': 'B', 'radius_mean': '11.51', 'texture_mean': '23.93', 'perimeter_mean': '74.52', 'area_mean': '403.5', 'smoothness_mean': '0.09261', 'compactness_mean': '0.1021', 'concavity_mean': '0.1112', 'concave points_mean': '0.04105', 'symmetry_mean': '0.1388', 'fractal_dimension_mean': '0.0657', 'radius_se': '0.2388', 'texture_se': '2.904', 'perimeter_se': '1.936', 'area_se': '16.97', 'smoothness_se': '0.0082', 'compactness_se': '0.02982', 'concavity_se': '0.05738', 'concave points_se': '0.01267', 'symmetry_se': '0.01488', 'fractal_dimension_se': '0.004738', 'radius_worst': '12.48', 'texture_worst': '37.16', 'perimeter_worst': '82.28', 'area_worst': '474.2', 'smoothness_worst': '0.1298', 'compactness_worst': '0.2517', 'concavity_worst': '0.363', 'concave points_worst': '0.09653', 'symmetry_worst': '0.2112', 'fractal_dimension_worst': '0.08732'}
{'id': '925292', 'diagnosis': 'B', 'radius_mean': '14.05', 'texture_mean': '27.15', 'perimeter_mean': '91.38', 'area_mean': '600.4', 'smoothness_mean': '0.09929', 'compactness_mean': '0.1126', 'concavity_mean': '0.04462', 'concave points_mean': '0.04304', 'symmetry_mean': '0.1537', 'fractal_dimension_mean': '0.06171', 'radius_se': '0.3645', 'texture_se': '1.492', 'perimeter_se': '2.888', 'area_se': '29.84', 'smoothness_se': '0.007256', 'compactness_se': '0.02678', 'concavity_se': '0.02071', 'concave points_se': '0.01626', 'symmetry_se': '0.0208', 'fractal_dimension_se': '0.005304', 'radius_worst': '15.3', 'texture_worst': '33.17', 'perimeter_worst': '100.2', 'area_worst': '706.7', 'smoothness_worst': '0.1241', 'compactness_worst': '0.2264', 'concavity_worst': '0.1326', 'concave points_worst': '0.1048', 'symmetry_worst': '0.225', 'fractal_dimension_worst': '0.08321'}
{'id': '925311', 'diagnosis': 'B', 'radius_mean': '11.2', 'texture_mean': '29.37', 'perimeter_mean': '70.67', 'area_mean': '386', 'smoothness_mean': '0.07449', 'compactness_mean': '0.03558', 'concavity_mean': '0', 'concave points_mean': '0', 'symmetry_mean': '0.106', 'fractal_dimension_mean': '0.05502', 'radius_se': '0.3141', 'texture_se': '3.896', 'perimeter_se': '2.041', 'area_se': '22.81', 'smoothness_se': '0.007594', 'compactness_se': '0.008878', 'concavity_se': '0', 'concave points_se': '0', 'symmetry_se': '0.01989', 'fractal_dimension_se': '0.001773', 'radius_worst': '11.92', 'texture_worst': '38.3', 'perimeter_worst': '75.19', 'area_worst': '439.6', 'smoothness_worst': '0.09267', 'compactness_worst': '0.05494', 'concavity_worst': '0', 'concave points_worst': '0', 'symmetry_worst': '0.1566', 'fractal_dimension_worst': '0.05905'}
{'id': '925622', 'diagnosis': 'M', 'radius_mean': '15.22', 'texture_mean': '30.62', 'perimeter_mean': '103.4', 'area_mean': '716.9', 'smoothness_mean': '0.1048', 'compactness_mean': '0.2087', 'concavity_mean': '0.255', 'concave points_mean': '0.09429', 'symmetry_mean': '0.2128', 'fractal_dimension_mean': '0.07152', 'radius_se': '0.2602', 'texture_se': '1.205', 'perimeter_se': '2.362', 'area_se': '22.65', 'smoothness_se': '0.004625', 'compactness_se': '0.04844', 'concavity_se': '0.07359', 'concave points_se': '0.01608', 'symmetry_se': '0.02137', 'fractal_dimension_se': '0.006142', 'radius_worst': '17.52', 'texture_worst': '42.79', 'perimeter_worst': '128.7', 'area_worst': '915', 'smoothness_worst': '0.1417', 'compactness_worst': '0.7917', 'concavity_worst': '1.17', 'concave points_worst': '0.2356', 'symmetry_worst': '0.4089', 'fractal_dimension_worst': '0.1409'}
{'id': '926125', 'diagnosis': 'M', 'radius_mean': '20.92', 'texture_mean': '25.09', 'perimeter_mean': '143', 'area_mean': '1347', 'smoothness_mean': '0.1099', 'compactness_mean': '0.2236', 'concavity_mean': '0.3174', 'concave points_mean': '0.1474', 'symmetry_mean': '0.2149', 'fractal_dimension_mean': '0.06879', 'radius_se': '0.9622', 'texture_se': '1.026', 'perimeter_se': '8.758', 'area_se': '118.8', 'smoothness_se': '0.006399', 'compactness_se': '0.0431', 'concavity_se': '0.07845', 'concave points_se': '0.02624', 'symmetry_se': '0.02057', 'fractal_dimension_se': '0.006213', 'radius_worst': '24.29', 'texture_worst': '29.41', 'perimeter_worst': '179.1', 'area_worst': '1819', 'smoothness_worst': '0.1407', 'compactness_worst': '0.4186', 'concavity_worst': '0.6599', 'concave points_worst': '0.2542', 'symmetry_worst': '0.2929', 'fractal_dimension_worst': '0.09873'}
{'id': '926424', 'diagnosis': 'M', 'radius_mean': '21.56', 'texture_mean': '22.39', 'perimeter_mean': '142', 'area_mean': '1479', 'smoothness_mean': '0.111', 'compactness_mean': '0.1159', 'concavity_mean': '0.2439', 'concave points_mean': '0.1389', 'symmetry_mean': '0.1726', 'fractal_dimension_mean': '0.05623', 'radius_se': '1.176', 'texture_se': '1.256', 'perimeter_se': '7.673', 'area_se': '158.7', 'smoothness_se': '0.0103', 'compactness_se': '0.02891', 'concavity_se': '0.05198', 'concave points_se': '0.02454', 'symmetry_se': '0.01114', 'fractal_dimension_se': '0.004239', 'radius_worst': '25.45', 'texture_worst': '26.4', 'perimeter_worst': '166.1', 'area_worst': '2027', 'smoothness_worst': '0.141', 'compactness_worst': '0.2113', 'concavity_worst': '0.4107', 'concave points_worst': '0.2216', 'symmetry_worst': '0.206', 'fractal_dimension_worst': '0.07115'}
{'id': '926682', 'diagnosis': 'M', 'radius_mean': '20.13', 'texture_mean': '28.25', 'perimeter_mean': '131.2', 'area_mean': '1261', 'smoothness_mean': '0.0978', 'compactness_mean': '0.1034', 'concavity_mean': '0.144', 'concave points_mean': '0.09791', 'symmetry_mean': '0.1752', 'fractal_dimension_mean': '0.05533', 'radius_se': '0.7655', 'texture_se': '2.463', 'perimeter_se': '5.203', 'area_se': '99.04', 'smoothness_se': '0.005769', 'compactness_se': '0.02423', 'concavity_se': '0.0395', 'concave points_se': '0.01678', 'symmetry_se': '0.01898', 'fractal_dimension_se': '0.002498', 'radius_worst': '23.69', 'texture_worst': '38.25', 'perimeter_worst': '155', 'area_worst': '1731', 'smoothness_worst': '0.1166', 'compactness_worst': '0.1922', 'concavity_worst': '0.3215', 'concave points_worst': '0.1628', 'symmetry_worst': '0.2572', 'fractal_dimension_worst': '0.06637'}
{'id': '926954', 'diagnosis': 'M', 'radius_mean': '16.6', 'texture_mean': '28.08', 'perimeter_mean': '108.3', 'area_mean': '858.1', 'smoothness_mean': '0.08455', 'compactness_mean': '0.1023', 'concavity_mean': '0.09251', 'concave points_mean': '0.05302', 'symmetry_mean': '0.159', 'fractal_dimension_mean': '0.05648', 'radius_se': '0.4564', 'texture_se': '1.075', 'perimeter_se': '3.425', 'area_se': '48.55', 'smoothness_se': '0.005903', 'compactness_se': '0.03731', 'concavity_se': '0.0473', 'concave points_se': '0.01557', 'symmetry_se': '0.01318', 'fractal_dimension_se': '0.003892', 'radius_worst': '18.98', 'texture_worst': '34.12', 'perimeter_worst': '126.7', 'area_worst': '1124', 'smoothness_worst': '0.1139', 'compactness_worst': '0.3094', 'concavity_worst': '0.3403', 'concave points_worst': '0.1418', 'symmetry_worst': '0.2218', 'fractal_dimension_worst': '0.0782'}
{'id': '927241', 'diagnosis': 'M', 'radius_mean': '20.6', 'texture_mean': '29.33', 'perimeter_mean': '140.1', 'area_mean': '1265', 'smoothness_mean': '0.1178', 'compactness_mean': '0.277', 'concavity_mean': '0.3514', 'concave points_mean': '0.152', 'symmetry_mean': '0.2397', 'fractal_dimension_mean': '0.07016', 'radius_se': '0.726', 'texture_se': '1.595', 'perimeter_se': '5.772', 'area_se': '86.22', 'smoothness_se': '0.006522', 'compactness_se': '0.06158', 'concavity_se': '0.07117', 'concave points_se': '0.01664', 'symmetry_se': '0.02324', 'fractal_dimension_se': '0.006185', 'radius_worst': '25.74', 'texture_worst': '39.42', 'perimeter_worst': '184.6', 'area_worst': '1821', 'smoothness_worst': '0.165', 'compactness_worst': '0.8681', 'concavity_worst': '0.9387', 'concave points_worst': '0.265', 'symmetry_worst': '0.4087', 'fractal_dimension_worst': '0.124'}
{'id': '92751', 'diagnosis': 'B', 'radius_mean': '7.76', 'texture_mean': '24.54', 'perimeter_mean': '47.92', 'area_mean': '181', 'smoothness_mean': '0.05263', 'compactness_mean': '0.04362', 'concavity_mean': '0', 'concave points_mean': '0', 'symmetry_mean': '0.1587', 'fractal_dimension_mean': '0.05884', 'radius_se': '0.3857', 'texture_se': '1.428', 'perimeter_se': '2.548', 'area_se': '19.15', 'smoothness_se': '0.007189', 'compactness_se': '0.00466', 'concavity_se': '0', 'concave points_se': '0', 'symmetry_se': '0.02676', 'fractal_dimension_se': '0.002783', 'radius_worst': '9.456', 'texture_worst': '30.37', 'perimeter_worst': '59.16', 'area_worst': '268.6', 'smoothness_worst': '0.08996', 'compactness_worst': '0.06444', 'concavity_worst': '0', 'concave points_worst': '0', 'symmetry_worst': '0.2871', 'fractal_dimension_worst': '0.07039'}
In [5]:
list(db.nosql.find())
Out[5]:
[{'_id': ObjectId('6385b3888d21f58603c544c5'),
  'id': '842302',
  'diagnosis': 'M',
  'radius_mean': '17.99',
  'texture_mean': '10.38',
  'perimeter_mean': '122.8',
  'area_mean': '1001',
  'smoothness_mean': '0.1184',
  'compactness_mean': '0.2776',
  'concavity_mean': '0.3001',
  'concave points_mean': '0.1471',
  'symmetry_mean': '0.2419',
  'fractal_dimension_mean': '0.07871',
  'radius_se': '1.095',
  'texture_se': '0.9053',
  'perimeter_se': '8.589',
  'area_se': '153.4',
  'smoothness_se': '0.006399',
  'compactness_se': '0.04904',
  'concavity_se': '0.05373',
  'concave points_se': '0.01587',
  'symmetry_se': '0.03003',
  'fractal_dimension_se': '0.006193',
  'radius_worst': '25.38',
  'texture_worst': '17.33',
  'perimeter_worst': '184.6',
  'area_worst': '2019',
  'smoothness_worst': '0.1622',
  'compactness_worst': '0.6656',
  'concavity_worst': '0.7119',
  'concave points_worst': '0.2654',
  'symmetry_worst': '0.4601',
  'fractal_dimension_worst': '0.1189'},
 {'_id': ObjectId('6385b3888d21f58603c544c6'),
  'id': '842517',
  'diagnosis': 'M',
  'radius_mean': '20.57',
  'texture_mean': '17.77',
  'perimeter_mean': '132.9',
  'area_mean': '1326',
  'smoothness_mean': '0.08474',
  'compactness_mean': '0.07864',
  'concavity_mean': '0.0869',
  'concave points_mean': '0.07017',
  'symmetry_mean': '0.1812',
  'fractal_dimension_mean': '0.05667',
  'radius_se': '0.5435',
  'texture_se': '0.7339',
  'perimeter_se': '3.398',
  'area_se': '74.08',
  'smoothness_se': '0.005225',
  'compactness_se': '0.01308',
  'concavity_se': '0.0186',
  'concave points_se': '0.0134',
  'symmetry_se': '0.01389',
  'fractal_dimension_se': '0.003532',
  'radius_worst': '24.99',
  'texture_worst': '23.41',
  'perimeter_worst': '158.8',
  'area_worst': '1956',
  'smoothness_worst': '0.1238',
  'compactness_worst': '0.1866',
  'concavity_worst': '0.2416',
  'concave points_worst': '0.186',
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  'compactness_mean': '0.05824',
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  'fractal_dimension_mean': '0.05708',
  'radius_se': '0.2116',
  'texture_se': '1.36',
  'perimeter_se': '1.502',
  'area_se': '16.83',
  'smoothness_se': '0.008412',
  'compactness_se': '0.02153',
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 {'_id': ObjectId('6385b3888d21f58603c546f0'),
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 {'_id': ObjectId('6385b3888d21f58603c546f1'),
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 {'_id': ObjectId('6385b3888d21f58603c546f2'),
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 {'_id': ObjectId('6385b3888d21f58603c546f3'),
  'id': '925277',
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  'symmetry_mean': '0.1454',
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  'radius_se': '0.2254',
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  'area_se': '19.54',
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 {'_id': ObjectId('6385b3888d21f58603c546f4'),
  'id': '925291',
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  'smoothness_mean': '0.09261',
  'compactness_mean': '0.1021',
  'concavity_mean': '0.1112',
  'concave points_mean': '0.04105',
  'symmetry_mean': '0.1388',
  'fractal_dimension_mean': '0.0657',
  'radius_se': '0.2388',
  'texture_se': '2.904',
  'perimeter_se': '1.936',
  'area_se': '16.97',
  'smoothness_se': '0.0082',
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  'symmetry_se': '0.01488',
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  'radius_worst': '12.48',
  'texture_worst': '37.16',
  'perimeter_worst': '82.28',
  'area_worst': '474.2',
  'smoothness_worst': '0.1298',
  'compactness_worst': '0.2517',
  'concavity_worst': '0.363',
  'concave points_worst': '0.09653',
  'symmetry_worst': '0.2112',
  'fractal_dimension_worst': '0.08732'},
 {'_id': ObjectId('6385b3888d21f58603c546f5'),
  'id': '925292',
  'diagnosis': 'B',
  'radius_mean': '14.05',
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  'smoothness_mean': '0.09929',
  'compactness_mean': '0.1126',
  'concavity_mean': '0.04462',
  'concave points_mean': '0.04304',
  'symmetry_mean': '0.1537',
  'fractal_dimension_mean': '0.06171',
  'radius_se': '0.3645',
  'texture_se': '1.492',
  'perimeter_se': '2.888',
  'area_se': '29.84',
  'smoothness_se': '0.007256',
  'compactness_se': '0.02678',
  'concavity_se': '0.02071',
  'concave points_se': '0.01626',
  'symmetry_se': '0.0208',
  'fractal_dimension_se': '0.005304',
  'radius_worst': '15.3',
  'texture_worst': '33.17',
  'perimeter_worst': '100.2',
  'area_worst': '706.7',
  'smoothness_worst': '0.1241',
  'compactness_worst': '0.2264',
  'concavity_worst': '0.1326',
  'concave points_worst': '0.1048',
  'symmetry_worst': '0.225',
  'fractal_dimension_worst': '0.08321'},
 {'_id': ObjectId('6385b3888d21f58603c546f6'),
  'id': '925311',
  'diagnosis': 'B',
  'radius_mean': '11.2',
  'texture_mean': '29.37',
  'perimeter_mean': '70.67',
  'area_mean': '386',
  'smoothness_mean': '0.07449',
  'compactness_mean': '0.03558',
  'concavity_mean': '0',
  'concave points_mean': '0',
  'symmetry_mean': '0.106',
  'fractal_dimension_mean': '0.05502',
  'radius_se': '0.3141',
  'texture_se': '3.896',
  'perimeter_se': '2.041',
  'area_se': '22.81',
  'smoothness_se': '0.007594',
  'compactness_se': '0.008878',
  'concavity_se': '0',
  'concave points_se': '0',
  'symmetry_se': '0.01989',
  'fractal_dimension_se': '0.001773',
  'radius_worst': '11.92',
  'texture_worst': '38.3',
  'perimeter_worst': '75.19',
  'area_worst': '439.6',
  'smoothness_worst': '0.09267',
  'compactness_worst': '0.05494',
  'concavity_worst': '0',
  'concave points_worst': '0',
  'symmetry_worst': '0.1566',
  'fractal_dimension_worst': '0.05905'},
 {'_id': ObjectId('6385b3888d21f58603c546f7'),
  'id': '925622',
  'diagnosis': 'M',
  'radius_mean': '15.22',
  'texture_mean': '30.62',
  'perimeter_mean': '103.4',
  'area_mean': '716.9',
  'smoothness_mean': '0.1048',
  'compactness_mean': '0.2087',
  'concavity_mean': '0.255',
  'concave points_mean': '0.09429',
  'symmetry_mean': '0.2128',
  'fractal_dimension_mean': '0.07152',
  'radius_se': '0.2602',
  'texture_se': '1.205',
  'perimeter_se': '2.362',
  'area_se': '22.65',
  'smoothness_se': '0.004625',
  'compactness_se': '0.04844',
  'concavity_se': '0.07359',
  'concave points_se': '0.01608',
  'symmetry_se': '0.02137',
  'fractal_dimension_se': '0.006142',
  'radius_worst': '17.52',
  'texture_worst': '42.79',
  'perimeter_worst': '128.7',
  'area_worst': '915',
  'smoothness_worst': '0.1417',
  'compactness_worst': '0.7917',
  'concavity_worst': '1.17',
  'concave points_worst': '0.2356',
  'symmetry_worst': '0.4089',
  'fractal_dimension_worst': '0.1409'},
 {'_id': ObjectId('6385b3888d21f58603c546f8'),
  'id': '926125',
  'diagnosis': 'M',
  'radius_mean': '20.92',
  'texture_mean': '25.09',
  'perimeter_mean': '143',
  'area_mean': '1347',
  'smoothness_mean': '0.1099',
  'compactness_mean': '0.2236',
  'concavity_mean': '0.3174',
  'concave points_mean': '0.1474',
  'symmetry_mean': '0.2149',
  'fractal_dimension_mean': '0.06879',
  'radius_se': '0.9622',
  'texture_se': '1.026',
  'perimeter_se': '8.758',
  'area_se': '118.8',
  'smoothness_se': '0.006399',
  'compactness_se': '0.0431',
  'concavity_se': '0.07845',
  'concave points_se': '0.02624',
  'symmetry_se': '0.02057',
  'fractal_dimension_se': '0.006213',
  'radius_worst': '24.29',
  'texture_worst': '29.41',
  'perimeter_worst': '179.1',
  'area_worst': '1819',
  'smoothness_worst': '0.1407',
  'compactness_worst': '0.4186',
  'concavity_worst': '0.6599',
  'concave points_worst': '0.2542',
  'symmetry_worst': '0.2929',
  'fractal_dimension_worst': '0.09873'},
 {'_id': ObjectId('6385b3888d21f58603c546f9'),
  'id': '926424',
  'diagnosis': 'M',
  'radius_mean': '21.56',
  'texture_mean': '22.39',
  'perimeter_mean': '142',
  'area_mean': '1479',
  'smoothness_mean': '0.111',
  'compactness_mean': '0.1159',
  'concavity_mean': '0.2439',
  'concave points_mean': '0.1389',
  'symmetry_mean': '0.1726',
  'fractal_dimension_mean': '0.05623',
  'radius_se': '1.176',
  'texture_se': '1.256',
  'perimeter_se': '7.673',
  'area_se': '158.7',
  'smoothness_se': '0.0103',
  'compactness_se': '0.02891',
  'concavity_se': '0.05198',
  'concave points_se': '0.02454',
  'symmetry_se': '0.01114',
  'fractal_dimension_se': '0.004239',
  'radius_worst': '25.45',
  'texture_worst': '26.4',
  'perimeter_worst': '166.1',
  'area_worst': '2027',
  'smoothness_worst': '0.141',
  'compactness_worst': '0.2113',
  'concavity_worst': '0.4107',
  'concave points_worst': '0.2216',
  'symmetry_worst': '0.206',
  'fractal_dimension_worst': '0.07115'},
 {'_id': ObjectId('6385b3888d21f58603c546fa'),
  'id': '926682',
  'diagnosis': 'M',
  'radius_mean': '20.13',
  'texture_mean': '28.25',
  'perimeter_mean': '131.2',
  'area_mean': '1261',
  'smoothness_mean': '0.0978',
  'compactness_mean': '0.1034',
  'concavity_mean': '0.144',
  'concave points_mean': '0.09791',
  'symmetry_mean': '0.1752',
  'fractal_dimension_mean': '0.05533',
  'radius_se': '0.7655',
  'texture_se': '2.463',
  'perimeter_se': '5.203',
  'area_se': '99.04',
  'smoothness_se': '0.005769',
  'compactness_se': '0.02423',
  'concavity_se': '0.0395',
  'concave points_se': '0.01678',
  'symmetry_se': '0.01898',
  'fractal_dimension_se': '0.002498',
  'radius_worst': '23.69',
  'texture_worst': '38.25',
  'perimeter_worst': '155',
  'area_worst': '1731',
  'smoothness_worst': '0.1166',
  'compactness_worst': '0.1922',
  'concavity_worst': '0.3215',
  'concave points_worst': '0.1628',
  'symmetry_worst': '0.2572',
  'fractal_dimension_worst': '0.06637'},
 {'_id': ObjectId('6385b3888d21f58603c546fb'),
  'id': '926954',
  'diagnosis': 'M',
  'radius_mean': '16.6',
  'texture_mean': '28.08',
  'perimeter_mean': '108.3',
  'area_mean': '858.1',
  'smoothness_mean': '0.08455',
  'compactness_mean': '0.1023',
  'concavity_mean': '0.09251',
  'concave points_mean': '0.05302',
  'symmetry_mean': '0.159',
  'fractal_dimension_mean': '0.05648',
  'radius_se': '0.4564',
  'texture_se': '1.075',
  'perimeter_se': '3.425',
  'area_se': '48.55',
  'smoothness_se': '0.005903',
  'compactness_se': '0.03731',
  'concavity_se': '0.0473',
  'concave points_se': '0.01557',
  'symmetry_se': '0.01318',
  'fractal_dimension_se': '0.003892',
  'radius_worst': '18.98',
  'texture_worst': '34.12',
  'perimeter_worst': '126.7',
  'area_worst': '1124',
  'smoothness_worst': '0.1139',
  'compactness_worst': '0.3094',
  'concavity_worst': '0.3403',
  'concave points_worst': '0.1418',
  'symmetry_worst': '0.2218',
  'fractal_dimension_worst': '0.0782'},
 {'_id': ObjectId('6385b3888d21f58603c546fc'),
  'id': '927241',
  'diagnosis': 'M',
  'radius_mean': '20.6',
  'texture_mean': '29.33',
  'perimeter_mean': '140.1',
  'area_mean': '1265',
  'smoothness_mean': '0.1178',
  'compactness_mean': '0.277',
  'concavity_mean': '0.3514',
  'concave points_mean': '0.152',
  'symmetry_mean': '0.2397',
  'fractal_dimension_mean': '0.07016',
  'radius_se': '0.726',
  'texture_se': '1.595',
  'perimeter_se': '5.772',
  'area_se': '86.22',
  'smoothness_se': '0.006522',
  'compactness_se': '0.06158',
  'concavity_se': '0.07117',
  'concave points_se': '0.01664',
  'symmetry_se': '0.02324',
  'fractal_dimension_se': '0.006185',
  'radius_worst': '25.74',
  'texture_worst': '39.42',
  'perimeter_worst': '184.6',
  'area_worst': '1821',
  'smoothness_worst': '0.165',
  'compactness_worst': '0.8681',
  'concavity_worst': '0.9387',
  'concave points_worst': '0.265',
  'symmetry_worst': '0.4087',
  'fractal_dimension_worst': '0.124'},
 {'_id': ObjectId('6385b3888d21f58603c546fd'),
  'id': '92751',
  'diagnosis': 'B',
  'radius_mean': '7.76',
  'texture_mean': '24.54',
  'perimeter_mean': '47.92',
  'area_mean': '181',
  'smoothness_mean': '0.05263',
  'compactness_mean': '0.04362',
  'concavity_mean': '0',
  'concave points_mean': '0',
  'symmetry_mean': '0.1587',
  'fractal_dimension_mean': '0.05884',
  'radius_se': '0.3857',
  'texture_se': '1.428',
  'perimeter_se': '2.548',
  'area_se': '19.15',
  'smoothness_se': '0.007189',
  'compactness_se': '0.00466',
  'concavity_se': '0',
  'concave points_se': '0',
  'symmetry_se': '0.02676',
  'fractal_dimension_se': '0.002783',
  'radius_worst': '9.456',
  'texture_worst': '30.37',
  'perimeter_worst': '59.16',
  'area_worst': '268.6',
  'smoothness_worst': '0.08996',
  'compactness_worst': '0.06444',
  'concavity_worst': '0',
  'concave points_worst': '0',
  'symmetry_worst': '0.2871',
  'fractal_dimension_worst': '0.07039'}]
In [6]:
df =  pd.DataFrame(list(db.nosql.find()))
In [7]:
df.drop('_id',inplace=True,axis=1)
In [8]:
data=df
In [9]:
df = df.apply(pd.to_numeric, errors='coerce')
In [10]:
df["diagnosis"]=data["diagnosis"]
In [11]:
df
Out[11]:
id diagnosis radius_mean texture_mean perimeter_mean area_mean smoothness_mean compactness_mean concavity_mean concave points_mean symmetry_mean fractal_dimension_mean radius_se texture_se perimeter_se area_se smoothness_se compactness_se concavity_se concave points_se symmetry_se fractal_dimension_se radius_worst texture_worst perimeter_worst area_worst smoothness_worst compactness_worst concavity_worst concave points_worst symmetry_worst fractal_dimension_worst
0 842302 M 17.99 10.38 122.80 1001.0 0.11840 0.27760 0.30010 0.14710 0.2419 0.07871 1.0950 0.9053 8.589 153.40 0.006399 0.04904 0.05373 0.01587 0.03003 0.006193 25.380 17.33 184.60 2019.0 0.16220 0.66560 0.7119 0.2654 0.4601 0.11890
1 842517 M 20.57 17.77 132.90 1326.0 0.08474 0.07864 0.08690 0.07017 0.1812 0.05667 0.5435 0.7339 3.398 74.08 0.005225 0.01308 0.01860 0.01340 0.01389 0.003532 24.990 23.41 158.80 1956.0 0.12380 0.18660 0.2416 0.1860 0.2750 0.08902
2 84300903 M 19.69 21.25 130.00 1203.0 0.10960 0.15990 0.19740 0.12790 0.2069 0.05999 0.7456 0.7869 4.585 94.03 0.006150 0.04006 0.03832 0.02058 0.02250 0.004571 23.570 25.53 152.50 1709.0 0.14440 0.42450 0.4504 0.2430 0.3613 0.08758
3 84348301 M 11.42 20.38 77.58 386.1 0.14250 0.28390 0.24140 0.10520 0.2597 0.09744 0.4956 1.1560 3.445 27.23 0.009110 0.07458 0.05661 0.01867 0.05963 0.009208 14.910 26.50 98.87 567.7 0.20980 0.86630 0.6869 0.2575 0.6638 0.17300
4 84358402 M 20.29 14.34 135.10 1297.0 0.10030 0.13280 0.19800 0.10430 0.1809 0.05883 0.7572 0.7813 5.438 94.44 0.011490 0.02461 0.05688 0.01885 0.01756 0.005115 22.540 16.67 152.20 1575.0 0.13740 0.20500 0.4000 0.1625 0.2364 0.07678
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...
564 926424 M 21.56 22.39 142.00 1479.0 0.11100 0.11590 0.24390 0.13890 0.1726 0.05623 1.1760 1.2560 7.673 158.70 0.010300 0.02891 0.05198 0.02454 0.01114 0.004239 25.450 26.40 166.10 2027.0 0.14100 0.21130 0.4107 0.2216 0.2060 0.07115
565 926682 M 20.13 28.25 131.20 1261.0 0.09780 0.10340 0.14400 0.09791 0.1752 0.05533 0.7655 2.4630 5.203 99.04 0.005769 0.02423 0.03950 0.01678 0.01898 0.002498 23.690 38.25 155.00 1731.0 0.11660 0.19220 0.3215 0.1628 0.2572 0.06637
566 926954 M 16.60 28.08 108.30 858.1 0.08455 0.10230 0.09251 0.05302 0.1590 0.05648 0.4564 1.0750 3.425 48.55 0.005903 0.03731 0.04730 0.01557 0.01318 0.003892 18.980 34.12 126.70 1124.0 0.11390 0.30940 0.3403 0.1418 0.2218 0.07820
567 927241 M 20.60 29.33 140.10 1265.0 0.11780 0.27700 0.35140 0.15200 0.2397 0.07016 0.7260 1.5950 5.772 86.22 0.006522 0.06158 0.07117 0.01664 0.02324 0.006185 25.740 39.42 184.60 1821.0 0.16500 0.86810 0.9387 0.2650 0.4087 0.12400
568 92751 B 7.76 24.54 47.92 181.0 0.05263 0.04362 0.00000 0.00000 0.1587 0.05884 0.3857 1.4280 2.548 19.15 0.007189 0.00466 0.00000 0.00000 0.02676 0.002783 9.456 30.37 59.16 268.6 0.08996 0.06444 0.0000 0.0000 0.2871 0.07039

569 rows × 32 columns

In [12]:
data=df
In [ ]:
In [13]:
# Cell 1
len(data.index), len(data.columns)
Out[13]:
(569, 32)
In [14]:
# Cell 2
data.shape
Out[14]:
(569, 32)
In [15]:
data.head()
Out[15]:
id diagnosis radius_mean texture_mean perimeter_mean area_mean smoothness_mean compactness_mean concavity_mean concave points_mean symmetry_mean fractal_dimension_mean radius_se texture_se perimeter_se area_se smoothness_se compactness_se concavity_se concave points_se symmetry_se fractal_dimension_se radius_worst texture_worst perimeter_worst area_worst smoothness_worst compactness_worst concavity_worst concave points_worst symmetry_worst fractal_dimension_worst
0 842302 M 17.99 10.38 122.80 1001.0 0.11840 0.27760 0.3001 0.14710 0.2419 0.07871 1.0950 0.9053 8.589 153.40 0.006399 0.04904 0.05373 0.01587 0.03003 0.006193 25.38 17.33 184.60 2019.0 0.1622 0.6656 0.7119 0.2654 0.4601 0.11890
1 842517 M 20.57 17.77 132.90 1326.0 0.08474 0.07864 0.0869 0.07017 0.1812 0.05667 0.5435 0.7339 3.398 74.08 0.005225 0.01308 0.01860 0.01340 0.01389 0.003532 24.99 23.41 158.80 1956.0 0.1238 0.1866 0.2416 0.1860 0.2750 0.08902
2 84300903 M 19.69 21.25 130.00 1203.0 0.10960 0.15990 0.1974 0.12790 0.2069 0.05999 0.7456 0.7869 4.585 94.03 0.006150 0.04006 0.03832 0.02058 0.02250 0.004571 23.57 25.53 152.50 1709.0 0.1444 0.4245 0.4504 0.2430 0.3613 0.08758
3 84348301 M 11.42 20.38 77.58 386.1 0.14250 0.28390 0.2414 0.10520 0.2597 0.09744 0.4956 1.1560 3.445 27.23 0.009110 0.07458 0.05661 0.01867 0.05963 0.009208 14.91 26.50 98.87 567.7 0.2098 0.8663 0.6869 0.2575 0.6638 0.17300
4 84358402 M 20.29 14.34 135.10 1297.0 0.10030 0.13280 0.1980 0.10430 0.1809 0.05883 0.7572 0.7813 5.438 94.44 0.011490 0.02461 0.05688 0.01885 0.01756 0.005115 22.54 16.67 152.20 1575.0 0.1374 0.2050 0.4000 0.1625 0.2364 0.07678
In [16]:
data
Out[16]:
id diagnosis radius_mean texture_mean perimeter_mean area_mean smoothness_mean compactness_mean concavity_mean concave points_mean symmetry_mean fractal_dimension_mean radius_se texture_se perimeter_se area_se smoothness_se compactness_se concavity_se concave points_se symmetry_se fractal_dimension_se radius_worst texture_worst perimeter_worst area_worst smoothness_worst compactness_worst concavity_worst concave points_worst symmetry_worst fractal_dimension_worst
0 842302 M 17.99 10.38 122.80 1001.0 0.11840 0.27760 0.30010 0.14710 0.2419 0.07871 1.0950 0.9053 8.589 153.40 0.006399 0.04904 0.05373 0.01587 0.03003 0.006193 25.380 17.33 184.60 2019.0 0.16220 0.66560 0.7119 0.2654 0.4601 0.11890
1 842517 M 20.57 17.77 132.90 1326.0 0.08474 0.07864 0.08690 0.07017 0.1812 0.05667 0.5435 0.7339 3.398 74.08 0.005225 0.01308 0.01860 0.01340 0.01389 0.003532 24.990 23.41 158.80 1956.0 0.12380 0.18660 0.2416 0.1860 0.2750 0.08902
2 84300903 M 19.69 21.25 130.00 1203.0 0.10960 0.15990 0.19740 0.12790 0.2069 0.05999 0.7456 0.7869 4.585 94.03 0.006150 0.04006 0.03832 0.02058 0.02250 0.004571 23.570 25.53 152.50 1709.0 0.14440 0.42450 0.4504 0.2430 0.3613 0.08758
3 84348301 M 11.42 20.38 77.58 386.1 0.14250 0.28390 0.24140 0.10520 0.2597 0.09744 0.4956 1.1560 3.445 27.23 0.009110 0.07458 0.05661 0.01867 0.05963 0.009208 14.910 26.50 98.87 567.7 0.20980 0.86630 0.6869 0.2575 0.6638 0.17300
4 84358402 M 20.29 14.34 135.10 1297.0 0.10030 0.13280 0.19800 0.10430 0.1809 0.05883 0.7572 0.7813 5.438 94.44 0.011490 0.02461 0.05688 0.01885 0.01756 0.005115 22.540 16.67 152.20 1575.0 0.13740 0.20500 0.4000 0.1625 0.2364 0.07678
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...
564 926424 M 21.56 22.39 142.00 1479.0 0.11100 0.11590 0.24390 0.13890 0.1726 0.05623 1.1760 1.2560 7.673 158.70 0.010300 0.02891 0.05198 0.02454 0.01114 0.004239 25.450 26.40 166.10 2027.0 0.14100 0.21130 0.4107 0.2216 0.2060 0.07115
565 926682 M 20.13 28.25 131.20 1261.0 0.09780 0.10340 0.14400 0.09791 0.1752 0.05533 0.7655 2.4630 5.203 99.04 0.005769 0.02423 0.03950 0.01678 0.01898 0.002498 23.690 38.25 155.00 1731.0 0.11660 0.19220 0.3215 0.1628 0.2572 0.06637
566 926954 M 16.60 28.08 108.30 858.1 0.08455 0.10230 0.09251 0.05302 0.1590 0.05648 0.4564 1.0750 3.425 48.55 0.005903 0.03731 0.04730 0.01557 0.01318 0.003892 18.980 34.12 126.70 1124.0 0.11390 0.30940 0.3403 0.1418 0.2218 0.07820
567 927241 M 20.60 29.33 140.10 1265.0 0.11780 0.27700 0.35140 0.15200 0.2397 0.07016 0.7260 1.5950 5.772 86.22 0.006522 0.06158 0.07117 0.01664 0.02324 0.006185 25.740 39.42 184.60 1821.0 0.16500 0.86810 0.9387 0.2650 0.4087 0.12400
568 92751 B 7.76 24.54 47.92 181.0 0.05263 0.04362 0.00000 0.00000 0.1587 0.05884 0.3857 1.4280 2.548 19.15 0.007189 0.00466 0.00000 0.00000 0.02676 0.002783 9.456 30.37 59.16 268.6 0.08996 0.06444 0.0000 0.0000 0.2871 0.07039

569 rows × 32 columns

In [17]:
df = df.apply(pd.to_numeric, errors='coerce')
In [ ]:
In [18]:
df
Out[18]:
id diagnosis radius_mean texture_mean perimeter_mean area_mean smoothness_mean compactness_mean concavity_mean concave points_mean symmetry_mean fractal_dimension_mean radius_se texture_se perimeter_se area_se smoothness_se compactness_se concavity_se concave points_se symmetry_se fractal_dimension_se radius_worst texture_worst perimeter_worst area_worst smoothness_worst compactness_worst concavity_worst concave points_worst symmetry_worst fractal_dimension_worst
0 842302 NaN 17.99 10.38 122.80 1001.0 0.11840 0.27760 0.30010 0.14710 0.2419 0.07871 1.0950 0.9053 8.589 153.40 0.006399 0.04904 0.05373 0.01587 0.03003 0.006193 25.380 17.33 184.60 2019.0 0.16220 0.66560 0.7119 0.2654 0.4601 0.11890
1 842517 NaN 20.57 17.77 132.90 1326.0 0.08474 0.07864 0.08690 0.07017 0.1812 0.05667 0.5435 0.7339 3.398 74.08 0.005225 0.01308 0.01860 0.01340 0.01389 0.003532 24.990 23.41 158.80 1956.0 0.12380 0.18660 0.2416 0.1860 0.2750 0.08902
2 84300903 NaN 19.69 21.25 130.00 1203.0 0.10960 0.15990 0.19740 0.12790 0.2069 0.05999 0.7456 0.7869 4.585 94.03 0.006150 0.04006 0.03832 0.02058 0.02250 0.004571 23.570 25.53 152.50 1709.0 0.14440 0.42450 0.4504 0.2430 0.3613 0.08758
3 84348301 NaN 11.42 20.38 77.58 386.1 0.14250 0.28390 0.24140 0.10520 0.2597 0.09744 0.4956 1.1560 3.445 27.23 0.009110 0.07458 0.05661 0.01867 0.05963 0.009208 14.910 26.50 98.87 567.7 0.20980 0.86630 0.6869 0.2575 0.6638 0.17300
4 84358402 NaN 20.29 14.34 135.10 1297.0 0.10030 0.13280 0.19800 0.10430 0.1809 0.05883 0.7572 0.7813 5.438 94.44 0.011490 0.02461 0.05688 0.01885 0.01756 0.005115 22.540 16.67 152.20 1575.0 0.13740 0.20500 0.4000 0.1625 0.2364 0.07678
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...
564 926424 NaN 21.56 22.39 142.00 1479.0 0.11100 0.11590 0.24390 0.13890 0.1726 0.05623 1.1760 1.2560 7.673 158.70 0.010300 0.02891 0.05198 0.02454 0.01114 0.004239 25.450 26.40 166.10 2027.0 0.14100 0.21130 0.4107 0.2216 0.2060 0.07115
565 926682 NaN 20.13 28.25 131.20 1261.0 0.09780 0.10340 0.14400 0.09791 0.1752 0.05533 0.7655 2.4630 5.203 99.04 0.005769 0.02423 0.03950 0.01678 0.01898 0.002498 23.690 38.25 155.00 1731.0 0.11660 0.19220 0.3215 0.1628 0.2572 0.06637
566 926954 NaN 16.60 28.08 108.30 858.1 0.08455 0.10230 0.09251 0.05302 0.1590 0.05648 0.4564 1.0750 3.425 48.55 0.005903 0.03731 0.04730 0.01557 0.01318 0.003892 18.980 34.12 126.70 1124.0 0.11390 0.30940 0.3403 0.1418 0.2218 0.07820
567 927241 NaN 20.60 29.33 140.10 1265.0 0.11780 0.27700 0.35140 0.15200 0.2397 0.07016 0.7260 1.5950 5.772 86.22 0.006522 0.06158 0.07117 0.01664 0.02324 0.006185 25.740 39.42 184.60 1821.0 0.16500 0.86810 0.9387 0.2650 0.4087 0.12400
568 92751 NaN 7.76 24.54 47.92 181.0 0.05263 0.04362 0.00000 0.00000 0.1587 0.05884 0.3857 1.4280 2.548 19.15 0.007189 0.00466 0.00000 0.00000 0.02676 0.002783 9.456 30.37 59.16 268.6 0.08996 0.06444 0.0000 0.0000 0.2871 0.07039

569 rows × 32 columns


2. Exploring Data Analysis¶

In [19]:
data.info()

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 569 entries, 0 to 568
Data columns (total 32 columns):
 #   Column                   Non-Null Count  Dtype  
---  ------                   --------------  -----  
 0   id                       569 non-null    int64  
 1   diagnosis                569 non-null    object 
 2   radius_mean              569 non-null    float64
 3   texture_mean             569 non-null    float64
 4   perimeter_mean           569 non-null    float64
 5   area_mean                569 non-null    float64
 6   smoothness_mean          569 non-null    float64
 7   compactness_mean         569 non-null    float64
 8   concavity_mean           569 non-null    float64
 9   concave points_mean      569 non-null    float64
 10  symmetry_mean            569 non-null    float64
 11  fractal_dimension_mean   569 non-null    float64
 12  radius_se                569 non-null    float64
 13  texture_se               569 non-null    float64
 14  perimeter_se             569 non-null    float64
 15  area_se                  569 non-null    float64
 16  smoothness_se            569 non-null    float64
 17  compactness_se           569 non-null    float64
 18  concavity_se             569 non-null    float64
 19  concave points_se        569 non-null    float64
 20  symmetry_se              569 non-null    float64
 21  fractal_dimension_se     569 non-null    float64
 22  radius_worst             569 non-null    float64
 23  texture_worst            569 non-null    float64
 24  perimeter_worst          569 non-null    float64
 25  area_worst               569 non-null    float64
 26  smoothness_worst         569 non-null    float64
 27  compactness_worst        569 non-null    float64
 28  concavity_worst          569 non-null    float64
 29  concave points_worst     569 non-null    float64
 30  symmetry_worst           569 non-null    float64
 31  fractal_dimension_worst  569 non-null    float64
dtypes: float64(30), int64(1), object(1)
memory usage: 142.4+ KB
In [20]:
data.isna()
Out[20]:
id diagnosis radius_mean texture_mean perimeter_mean area_mean smoothness_mean compactness_mean concavity_mean concave points_mean symmetry_mean fractal_dimension_mean radius_se texture_se perimeter_se area_se smoothness_se compactness_se concavity_se concave points_se symmetry_se fractal_dimension_se radius_worst texture_worst perimeter_worst area_worst smoothness_worst compactness_worst concavity_worst concave points_worst symmetry_worst fractal_dimension_worst
0 False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False
1 False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False
2 False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False
3 False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False
4 False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...
564 False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False
565 False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False
566 False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False
567 False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False
568 False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False False

569 rows × 32 columns

In [21]:
data.isna().any()
Out[21]:
id                         False
diagnosis                  False
radius_mean                False
texture_mean               False
perimeter_mean             False
area_mean                  False
smoothness_mean            False
compactness_mean           False
concavity_mean             False
concave points_mean        False
symmetry_mean              False
fractal_dimension_mean     False
radius_se                  False
texture_se                 False
perimeter_se               False
area_se                    False
smoothness_se              False
compactness_se             False
concavity_se               False
concave points_se          False
symmetry_se                False
fractal_dimension_se       False
radius_worst               False
texture_worst              False
perimeter_worst            False
area_worst                 False
smoothness_worst           False
compactness_worst          False
concavity_worst            False
concave points_worst       False
symmetry_worst             False
fractal_dimension_worst    False
dtype: bool
In [22]:
data.isna().sum()
Out[22]:
id                         0
diagnosis                  0
radius_mean                0
texture_mean               0
perimeter_mean             0
area_mean                  0
smoothness_mean            0
compactness_mean           0
concavity_mean             0
concave points_mean        0
symmetry_mean              0
fractal_dimension_mean     0
radius_se                  0
texture_se                 0
perimeter_se               0
area_se                    0
smoothness_se              0
compactness_se             0
concavity_se               0
concave points_se          0
symmetry_se                0
fractal_dimension_se       0
radius_worst               0
texture_worst              0
perimeter_worst            0
area_worst                 0
smoothness_worst           0
compactness_worst          0
concavity_worst            0
concave points_worst       0
symmetry_worst             0
fractal_dimension_worst    0
dtype: int64
In [23]:
data = data.dropna(axis='columns')

Get object features¶

In [24]:
data.describe(include="O")
Out[24]:
diagnosis
count 569
unique 2
top B
freq 357

To know how many unique values¶

In [25]:
data.diagnosis.value_counts()
Out[25]:
B    357
M    212
Name: diagnosis, dtype: int64

using value_counts method we can see number of unique values in categorical type of feature.

Identify dependent and independent¶

In [26]:
data.head(2)
Out[26]:
id diagnosis radius_mean texture_mean perimeter_mean area_mean smoothness_mean compactness_mean concavity_mean concave points_mean symmetry_mean fractal_dimension_mean radius_se texture_se perimeter_se area_se smoothness_se compactness_se concavity_se concave points_se symmetry_se fractal_dimension_se radius_worst texture_worst perimeter_worst area_worst smoothness_worst compactness_worst concavity_worst concave points_worst symmetry_worst fractal_dimension_worst
0 842302 M 17.99 10.38 122.8 1001.0 0.11840 0.27760 0.3001 0.14710 0.2419 0.07871 1.0950 0.9053 8.589 153.40 0.006399 0.04904 0.05373 0.01587 0.03003 0.006193 25.38 17.33 184.6 2019.0 0.1622 0.6656 0.7119 0.2654 0.4601 0.11890
1 842517 M 20.57 17.77 132.9 1326.0 0.08474 0.07864 0.0869 0.07017 0.1812 0.05667 0.5435 0.7339 3.398 74.08 0.005225 0.01308 0.01860 0.01340 0.01389 0.003532 24.99 23.41 158.8 1956.0 0.1238 0.1866 0.2416 0.1860 0.2750 0.08902
In [27]:
diagnosis_unique = data.diagnosis.unique()
In [28]:
diagnosis_unique
Out[28]:
array(['M', 'B'], dtype=object)


3. Data Visualization.¶

In [29]:
import matplotlib.pyplot as plt
import seaborn as sns
import plotly.express as px
import plotly.graph_objects as go

%matplotlib inline
sns.set_style('darkgrid')
In [30]:
# plt.figure(figsize=(7,12))
px.histogram(data, x='diagnosis')
# plt.show()
In [31]:
cols = ["diagnosis", "radius_mean", "texture_mean", "perimeter_mean", "area_mean"]

sns.pairplot(data[cols], hue="diagnosis")
plt.show()

Data Filtering¶

In [33]:
from sklearn.preprocessing import LabelEncoder
In [34]:
data.head(2)
Out[34]:
id diagnosis radius_mean texture_mean perimeter_mean area_mean smoothness_mean compactness_mean concavity_mean concave points_mean symmetry_mean fractal_dimension_mean radius_se texture_se perimeter_se area_se smoothness_se compactness_se concavity_se concave points_se symmetry_se fractal_dimension_se radius_worst texture_worst perimeter_worst area_worst smoothness_worst compactness_worst concavity_worst concave points_worst symmetry_worst fractal_dimension_worst
0 842302 M 17.99 10.38 122.8 1001.0 0.11840 0.27760 0.3001 0.14710 0.2419 0.07871 1.0950 0.9053 8.589 153.40 0.006399 0.04904 0.05373 0.01587 0.03003 0.006193 25.38 17.33 184.6 2019.0 0.1622 0.6656 0.7119 0.2654 0.4601 0.11890
1 842517 M 20.57 17.77 132.9 1326.0 0.08474 0.07864 0.0869 0.07017 0.1812 0.05667 0.5435 0.7339 3.398 74.08 0.005225 0.01308 0.01860 0.01340 0.01389 0.003532 24.99 23.41 158.8 1956.0 0.1238 0.1866 0.2416 0.1860 0.2750 0.08902
  • LabelEncoder can be used to normalize labels.
In [35]:
labelencoder_Y = LabelEncoder()
data.diagnosis = labelencoder_Y.fit_transform(data.diagnosis)

After converting into numerical values, we can check it's values using this way,

In [36]:
data.head(2)
Out[36]:
id diagnosis radius_mean texture_mean perimeter_mean area_mean smoothness_mean compactness_mean concavity_mean concave points_mean symmetry_mean fractal_dimension_mean radius_se texture_se perimeter_se area_se smoothness_se compactness_se concavity_se concave points_se symmetry_se fractal_dimension_se radius_worst texture_worst perimeter_worst area_worst smoothness_worst compactness_worst concavity_worst concave points_worst symmetry_worst fractal_dimension_worst
0 842302 1 17.99 10.38 122.8 1001.0 0.11840 0.27760 0.3001 0.14710 0.2419 0.07871 1.0950 0.9053 8.589 153.40 0.006399 0.04904 0.05373 0.01587 0.03003 0.006193 25.38 17.33 184.6 2019.0 0.1622 0.6656 0.7119 0.2654 0.4601 0.11890
1 842517 1 20.57 17.77 132.9 1326.0 0.08474 0.07864 0.0869 0.07017 0.1812 0.05667 0.5435 0.7339 3.398 74.08 0.005225 0.01308 0.01860 0.01340 0.01389 0.003532 24.99 23.41 158.8 1956.0 0.1238 0.1866 0.2416 0.1860 0.2750 0.08902
In [37]:
print(data.diagnosis.value_counts())
print("\n", data.diagnosis.value_counts().sum())

0    357
1    212
Name: diagnosis, dtype: int64

 569

Finnaly, We can see in this output categorical values converted into 0 and 1.

Find the correlation between other features, mean features only¶

In [38]:
cols
Out[38]:
['diagnosis', 'radius_mean', 'texture_mean', 'perimeter_mean', 'area_mean']
In [ ]:
In [39]:
cols = ['diagnosis', 'radius_mean', 'texture_mean', 'perimeter_mean',
       'area_mean', 'smoothness_mean', 'compactness_mean', 'concavity_mean',
       'concave points_mean', 'symmetry_mean', 'fractal_dimension_mean']
print(len(cols))
data[cols].corr()

11
Out[39]:
diagnosis radius_mean texture_mean perimeter_mean area_mean smoothness_mean compactness_mean concavity_mean concave points_mean symmetry_mean fractal_dimension_mean
diagnosis 1.000000 0.730029 0.415185 0.742636 0.708984 0.358560 0.596534 0.696360 0.776614 0.330499 -0.012838
radius_mean 0.730029 1.000000 0.323782 0.997855 0.987357 0.170581 0.506124 0.676764 0.822529 0.147741 -0.311631
texture_mean 0.415185 0.323782 1.000000 0.329533 0.321086 -0.023389 0.236702 0.302418 0.293464 0.071401 -0.076437
perimeter_mean 0.742636 0.997855 0.329533 1.000000 0.986507 0.207278 0.556936 0.716136 0.850977 0.183027 -0.261477
area_mean 0.708984 0.987357 0.321086 0.986507 1.000000 0.177028 0.498502 0.685983 0.823269 0.151293 -0.283110
smoothness_mean 0.358560 0.170581 -0.023389 0.207278 0.177028 1.000000 0.659123 0.521984 0.553695 0.557775 0.584792
compactness_mean 0.596534 0.506124 0.236702 0.556936 0.498502 0.659123 1.000000 0.883121 0.831135 0.602641 0.565369
concavity_mean 0.696360 0.676764 0.302418 0.716136 0.685983 0.521984 0.883121 1.000000 0.921391 0.500667 0.336783
concave points_mean 0.776614 0.822529 0.293464 0.850977 0.823269 0.553695 0.831135 0.921391 1.000000 0.462497 0.166917
symmetry_mean 0.330499 0.147741 0.071401 0.183027 0.151293 0.557775 0.602641 0.500667 0.462497 1.000000 0.479921
fractal_dimension_mean -0.012838 -0.311631 -0.076437 -0.261477 -0.283110 0.584792 0.565369 0.336783 0.166917 0.479921 1.000000
In [40]:
plt.figure(figsize=(12, 9))

plt.title("Correlation Graph")

cmap = sns.diverging_palette( 1000, 120, as_cmap=True)
sns.heatmap(data[cols].corr(), annot=True, fmt='.1%',  linewidths=.05, cmap=cmap);

Using, Plotly Pacage we can show it in interactive graphs like this,

In [41]:
plt.figure(figsize=(15, 10))


fig = px.imshow(data[cols].corr());
fig.show()

<Figure size 1500x1000 with 0 Axes>


Model Implementation¶

Train Test Splitting¶

Preprocessing and model selection¶
In [42]:
from sklearn.model_selection import train_test_split

from sklearn.preprocessing import StandardScaler

Import Machine Learning Models¶

In [43]:
from sklearn.linear_model import LogisticRegression

from sklearn.tree import DecisionTreeClassifier

from sklearn.ensemble import RandomForestClassifier

from sklearn.naive_bayes import GaussianNB

from sklearn.neighbors import KNeighborsClassifier

Check the Model Accuracy, Errors and it's Validations¶

In [44]:
from sklearn.metrics import accuracy_score, confusion_matrix, f1_score

from sklearn.metrics import classification_report

from sklearn.model_selection import KFold

from sklearn.model_selection import cross_validate, cross_val_score

from sklearn.svm import SVC

from sklearn import metrics

Feature Selection¶

Select feature for predictions

In [45]:
data.columns
Out[45]:
Index(['id', 'diagnosis', 'radius_mean', 'texture_mean', 'perimeter_mean',
       'area_mean', 'smoothness_mean', 'compactness_mean', 'concavity_mean',
       'concave points_mean', 'symmetry_mean', 'fractal_dimension_mean',
       'radius_se', 'texture_se', 'perimeter_se', 'area_se', 'smoothness_se',
       'compactness_se', 'concavity_se', 'concave points_se', 'symmetry_se',
       'fractal_dimension_se', 'radius_worst', 'texture_worst',
       'perimeter_worst', 'area_worst', 'smoothness_worst',
       'compactness_worst', 'concavity_worst', 'concave points_worst',
       'symmetry_worst', 'fractal_dimension_worst'],
      dtype='object')
  • Take the dependent and independent feature for prediction
In [46]:
prediction_feature = [ "radius_mean",  'perimeter_mean', 'area_mean', 'symmetry_mean', 'compactness_mean', 'concave points_mean']

targeted_feature = 'diagnosis'

len(prediction_feature)
Out[46]:
6
In [47]:
X = data[prediction_feature]
X

# print(X.shape)
# print(X.values)
Out[47]:
radius_mean perimeter_mean area_mean symmetry_mean compactness_mean concave points_mean
0 17.99 122.80 1001.0 0.2419 0.27760 0.14710
1 20.57 132.90 1326.0 0.1812 0.07864 0.07017
2 19.69 130.00 1203.0 0.2069 0.15990 0.12790
3 11.42 77.58 386.1 0.2597 0.28390 0.10520
4 20.29 135.10 1297.0 0.1809 0.13280 0.10430
... ... ... ... ... ... ...
564 21.56 142.00 1479.0 0.1726 0.11590 0.13890
565 20.13 131.20 1261.0 0.1752 0.10340 0.09791
566 16.60 108.30 858.1 0.1590 0.10230 0.05302
567 20.60 140.10 1265.0 0.2397 0.27700 0.15200
568 7.76 47.92 181.0 0.1587 0.04362 0.00000

569 rows × 6 columns

In [48]:
y = data.diagnosis
y

# print(y.values)
Out[48]:
0      1
1      1
2      1
3      1
4      1
      ..
564    1
565    1
566    1
567    1
568    0
Name: diagnosis, Length: 569, dtype: int64
  • Splite the dataset into TrainingSet and TestingSet by 33% and set the 15 fixed records
In [49]:
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=15)

print(X_train)
# print(X_test)

     radius_mean  perimeter_mean  area_mean  symmetry_mean  compactness_mean  \
274        17.93          115.20      998.9         0.1538           0.07027   
189        12.30           78.83      463.7         0.1667           0.07253   
158        12.06           76.84      448.6         0.1590           0.05241   
257        15.32          103.20      713.3         0.2398           0.22840   
486        14.64           94.21      666.0         0.1409           0.06698   
..           ...             ...        ...            ...               ...   
85         18.46          121.10     1075.0         0.2132           0.10530   
199        14.45           94.49      642.7         0.1950           0.12060   
156        17.68          117.40      963.7         0.1971           0.16650   
384        13.28           85.79      541.8         0.1617           0.08575   
456        11.63           74.87      415.1         0.1799           0.08574   

     concave points_mean  
274              0.04744  
189              0.01654  
158              0.01963  
257              0.12420  
486              0.02791  
..                   ...  
85               0.08795  
199              0.05980  
156              0.10540  
384              0.02864  
456              0.02017  

[381 rows x 6 columns]

Perform Feature Standerd Scalling¶

Standardize features by removing the mean and scaling to unit variance

The standard score of a sample x is calculated as:

  • z = (x - u) / s
In [50]:
# Scale the data to keep all the values in the same magnitude of 0 -1 

sc = StandardScaler()

X_train = sc.fit_transform(X_train)
X_test = sc.fit_transform(X_test)


ML Model Selecting and Model PredPrediction¶

In [51]:
def model_building(model, X_train, X_test, y_train, y_test):
   
    
    model.fit(X_train, y_train)
    score = model.score(X_train, y_train)
    predictions = model.predict(X_test)
    accuracy = accuracy_score(predictions, y_test)
    
    return (score, accuracy, predictions)

Let's make a dictionary for multiple models for bulk predictions

In [52]:
models_list = {
    "LogisticRegression" :  LogisticRegression(),
    "RandomForestClassifier" :  RandomForestClassifier(n_estimators=10, criterion='entropy', random_state=5),
    "DecisionTreeClassifier" :  DecisionTreeClassifier(criterion='entropy', random_state=0),
    "SVC" :  SVC(),
}

# print(models_list)

Before, sending it to the prediction check the key and values to store it's values in DataFrame below.

In [53]:
print(list(models_list.keys()))
print(list(models_list.values()))

# print(zip(list(models_list.keys()), list(models_list.values())))

['LogisticRegression', 'RandomForestClassifier', 'DecisionTreeClassifier', 'SVC']
[LogisticRegression(), RandomForestClassifier(criterion='entropy', n_estimators=10, random_state=5), DecisionTreeClassifier(criterion='entropy', random_state=0), SVC()]

Model Implementing¶

In [54]:
# Let's Define the function for confision metric Graphs

def cm_metrix_graph(cm):
    
    sns.heatmap(cm,annot=True,fmt="d")
    plt.show()
In [55]:
df_prediction = []
confusion_matrixs = []
df_prediction_cols = [ 'model_name', 'score', 'accuracy_score' , "accuracy_percentage"]

for name, model in zip(list(models_list.keys()), list(models_list.values())):
    
    (score, accuracy, predictions) = model_building(model, X_train, X_test, y_train, y_test )
    
    print("\n\nClassification Report of '"+ str(name), "'\n")
    
    print(classification_report(y_test, predictions))

    df_prediction.append([name, score, accuracy, "{0:.2%}".format(accuracy)])
    
    # For Showing Metrics
    confusion_matrixs.append(confusion_matrix(y_test, predictions))
    
        
df_pred = pd.DataFrame(df_prediction, columns=df_prediction_cols)


Classification Report of 'LogisticRegression '

              precision    recall  f1-score   support

           0       0.90      0.96      0.93       115
           1       0.92      0.84      0.88        73

    accuracy                           0.91       188
   macro avg       0.91      0.90      0.90       188
weighted avg       0.91      0.91      0.91       188



Classification Report of 'RandomForestClassifier '

              precision    recall  f1-score   support

           0       0.92      0.96      0.94       115
           1       0.93      0.88      0.90        73

    accuracy                           0.93       188
   macro avg       0.93      0.92      0.92       188
weighted avg       0.93      0.93      0.93       188



Classification Report of 'DecisionTreeClassifier '

              precision    recall  f1-score   support

           0       0.90      0.96      0.93       115
           1       0.92      0.84      0.88        73

    accuracy                           0.91       188
   macro avg       0.91      0.90      0.90       188
weighted avg       0.91      0.91      0.91       188



Classification Report of 'SVC '

              precision    recall  f1-score   support

           0       0.90      0.97      0.93       115
           1       0.94      0.84      0.88        73

    accuracy                           0.91       188
   macro avg       0.92      0.90      0.91       188
weighted avg       0.92      0.91      0.91       188
In [56]:
print(len(confusion_matrixs))

4
In [57]:
plt.figure(figsize=(10, 2))
# plt.title("Confusion Metric Graph")


for index, cm in enumerate(confusion_matrixs):
    

    plt.xlabel("Negative Positive")
    plt.ylabel("True Positive")

        
     
    
    
    # Show The Metrics Graph    
    cm_metrix_graph(cm) # Call the Confusion Metrics Graph
    plt.tight_layout(pad=True)

<Figure size 640x480 with 0 Axes>

While Predicting we can store model's score and prediction values to new generated dataframe

In [58]:
df_pred
Out[58]:
model_name score accuracy_score accuracy_percentage
0 LogisticRegression 0.916010 0.909574 90.96%
1 RandomForestClassifier 0.992126 0.925532 92.55%
2 DecisionTreeClassifier 1.000000 0.909574 90.96%
3 SVC 0.923885 0.914894 91.49%
  • print the hightest accuracy score using sort values
In [59]:
df_pred.sort_values('score', ascending=False)
df_pred.sort_values('accuracy_score', ascending=False)
Out[59]:
model_name score accuracy_score accuracy_percentage
1 RandomForestClassifier 0.992126 0.925532 92.55%
3 SVC 0.923885 0.914894 91.49%
0 LogisticRegression 0.916010 0.909574 90.96%
2 DecisionTreeClassifier 1.000000 0.909574 90.96%

K-Fold Applying ...¶

In [60]:
len(data)
# print(len(X))
Out[60]:
569
In [61]:
# Sample For testing only

cv_score = cross_validate(LogisticRegression(), X, y, cv=3,
                        scoring=('r2', 'neg_mean_squared_error'),
                        return_train_score=True)

pd.DataFrame(cv_score).describe().T
Out[61]:
count mean std min 25% 50% 75% max
fit_time 3.0 0.009365 0.005189 0.006075 0.006374 0.006674 0.011010 0.015346
score_time 3.0 0.001436 0.000072 0.001384 0.001395 0.001407 0.001462 0.001518
test_r2 3.0 0.534312 0.186125 0.325364 0.460291 0.595218 0.638786 0.682353
train_r2 3.0 0.545196 0.051555 0.514363 0.515437 0.516511 0.560613 0.604714
test_neg_mean_squared_error 3.0 -0.108902 0.043669 -0.157895 -0.126316 -0.094737 -0.084405 -0.074074
train_neg_mean_squared_error 3.0 -0.106321 0.012102 -0.113456 -0.113307 -0.113158 -0.102753 -0.092348

Let's define a functino for cross validation scorring for multiple ML models

In [62]:
def cross_val_scorring(model):
    
#     (score, accuracy, predictions) = model_building(model, X_train, X_test, y_train, y_test )
    
    model.fit(data[prediction_feature], data[targeted_feature])
    
    # score = model.score(X_train, y_train)    
    
    predictions = model.predict(data[prediction_feature])    
    accuracy = accuracy_score(predictions, data[targeted_feature])
    print("\nFull-Data Accuracy:", round(accuracy, 2))
    print("Cross Validation Score of'"+ str(name), "'\n")
    
    
    # Initialize K folds.
    kFold = KFold(n_splits=5) # define 5 diffrent data folds
    
    err = []
    
    for train_index, test_index in kFold.split(data):
        # print("TRAIN:", train_index, "TEST:", test_index)

        # Data Spliting via fold indexes
        X_train = data[prediction_feature].iloc[train_index, :] # train_index = rows and all columns for Prediction_features
        y_train = data[targeted_feature].iloc[train_index] # all targeted features trains
        
        X_test = data[prediction_feature].iloc[test_index, :] # testing all rows and cols
        y_test = data[targeted_feature].iloc[test_index] # all targeted tests
        
        # Again Model Fitting
        model.fit(X_train, y_train)

        err.append(model.score(X_train, y_train))
        
        print("Score:", round(np.mean(err),  2) )

Call the function to know the cross validation function by mean for our select model predictions.

In [63]:
for name, model in zip(list(models_list.keys()), list(models_list.values())):
    cross_val_scorring(model)

Full-Data Accuracy: 0.9
Cross Validation Score of'LogisticRegression '

Score: 0.91
Score: 0.91
Score: 0.9
Score: 0.9
Score: 0.9

Full-Data Accuracy: 1.0
Cross Validation Score of'RandomForestClassifier '

Score: 0.99
Score: 0.99
Score: 0.99
Score: 1.0
Score: 1.0

Full-Data Accuracy: 1.0
Cross Validation Score of'DecisionTreeClassifier '

Score: 1.0
Score: 1.0
Score: 1.0
Score: 1.0
Score: 1.0

Full-Data Accuracy: 0.89
Cross Validation Score of'SVC '

Score: 0.9
Score: 0.89
Score: 0.88
Score: 0.88
Score: 0.88


HyperTunning the ML Model¶

In [64]:
from  sklearn.model_selection import GridSearchCV
In [65]:
# Let's Implement Grid Search Algorithm

# Pick the model
model = DecisionTreeClassifier()

# Tunning Params
param_grid = {'max_features': ['auto', 'sqrt', 'log2'],
              'min_samples_split': [2,3,4,5,6,7,8,9,10], 
              'min_samples_leaf':[2,3,4,5,6,7,8,9,10] }


# Implement GridSearchCV
gsc = GridSearchCV(model, param_grid, cv=10) # For 10 Cross-Validation

gsc.fit(X_train, y_train) # Model Fitting

print("\n Best Score is ")
print(gsc.best_score_)

print("\n Best Estinator is ")
print(gsc.best_estimator_)

print("\n Best Parametes are")
print(gsc.best_params_)

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.

/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning:

`max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.


 Best Score is 
0.931646423751687

 Best Estinator is 
DecisionTreeClassifier(max_features='sqrt', min_samples_leaf=6,
                       min_samples_split=3)

 Best Parametes are
{'max_features': 'sqrt', 'min_samples_leaf': 6, 'min_samples_split': 3}
In [66]:
# Pick the model
model = KNeighborsClassifier()


# Tunning Params
param_grid = {
    'n_neighbors': list(range(1, 30)),
    'leaf_size': list(range(1,30)),
    'weights': [ 'distance', 'uniform' ]
}


# Implement GridSearchCV
gsc = GridSearchCV(model, param_grid, cv=10)

# Model Fitting
gsc.fit(X_train, y_train)

print("\n Best Score is ")
print(gsc.best_score_)

print("\n Best Estinator is ")
print(gsc.best_estimator_)

print("\n Best Parametes are")
print(gsc.best_params_)

 Best Score is 
0.9159244264507423

 Best Estinator is 
KNeighborsClassifier(leaf_size=1, n_neighbors=10)

 Best Parametes are
{'leaf_size': 1, 'n_neighbors': 10, 'weights': 'uniform'}
In [67]:
# Pick the model
model = SVC()


# Tunning Params
param_grid = [
              {'C': [1, 10, 100, 1000], 
               'kernel': ['linear']
              },
              {'C': [1, 10, 100, 1000], 
               'gamma': [0.001, 0.0001], 
               'kernel': ['rbf']
              }
]


# Implement GridSearchCV
gsc = GridSearchCV(model, param_grid, cv=10) # 10 Cross Validation

# Model Fitting
gsc.fit(X_train, y_train)

print("\n Best Score is ")
print(gsc.best_score_)

print("\n Best Estinator is ")
print(gsc.best_estimator_)

print("\n Best Parametes are")
print(gsc.best_params_)

 Best Score is 
0.9184885290148447

 Best Estinator is 
SVC(C=10, gamma=0.001)

 Best Parametes are
{'C': 10, 'gamma': 0.001, 'kernel': 'rbf'}